Overview

Dataset statistics

Number of variables111
Number of observations24999
Missing cells1422620
Missing cells (%)51.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.2 MiB
Average record size in memory888.0 B

Variable types

Numeric25
Categorical30
Boolean2
Unsupported54

Alerts

pymnt_plan has constant value "False" Constant
initial_list_status has constant value "False" Constant
collections_12_mths_ex_med has constant value "0.0" Constant
policy_code has constant value "1" Constant
application_type has constant value "INDIVIDUAL" Constant
acc_now_delinq has constant value "0" Constant
chargeoff_within_12_mths has constant value "0.0" Constant
delinq_amnt has constant value "0" Constant
tax_liens has constant value "0.0" Constant
int_rate has a high cardinality: 361 distinct values High cardinality
emp_title has a high cardinality: 19952 distinct values High cardinality
issue_d has a high cardinality: 55 distinct values High cardinality
url has a high cardinality: 24999 distinct values High cardinality
desc has a high cardinality: 16661 distinct values High cardinality
title has a high cardinality: 12893 distinct values High cardinality
zip_code has a high cardinality: 787 distinct values High cardinality
earliest_cr_line has a high cardinality: 495 distinct values High cardinality
revol_util has a high cardinality: 1059 distinct values High cardinality
last_pymnt_d has a high cardinality: 101 distinct values High cardinality
last_credit_pull_d has a high cardinality: 102 distinct values High cardinality
id is highly correlated with member_id and 1 other fieldsHigh correlation
member_id is highly correlated with id and 1 other fieldsHigh correlation
loan_amnt is highly correlated with funded_amnt and 6 other fieldsHigh correlation
funded_amnt is highly correlated with loan_amnt and 6 other fieldsHigh correlation
funded_amnt_inv is highly correlated with loan_amnt and 6 other fieldsHigh correlation
installment is highly correlated with loan_amnt and 6 other fieldsHigh correlation
delinq_2yrs is highly correlated with mths_since_last_delinqHigh correlation
mths_since_last_delinq is highly correlated with delinq_2yrs and 1 other fieldsHigh correlation
mths_since_last_record is highly correlated with id and 4 other fieldsHigh correlation
open_acc is highly correlated with total_accHigh correlation
pub_rec is highly correlated with mths_since_last_record and 1 other fieldsHigh correlation
total_acc is highly correlated with open_accHigh correlation
out_prncp is highly correlated with out_prncp_invHigh correlation
out_prncp_inv is highly correlated with out_prncpHigh correlation
total_pymnt is highly correlated with loan_amnt and 6 other fieldsHigh correlation
total_pymnt_inv is highly correlated with loan_amnt and 6 other fieldsHigh correlation
total_rec_prncp is highly correlated with loan_amnt and 7 other fieldsHigh correlation
total_rec_int is highly correlated with loan_amnt and 6 other fieldsHigh correlation
recoveries is highly correlated with collection_recovery_feeHigh correlation
collection_recovery_fee is highly correlated with recoveriesHigh correlation
last_pymnt_amnt is highly correlated with total_rec_prncpHigh correlation
pub_rec_bankruptcies is highly correlated with mths_since_last_record and 1 other fieldsHigh correlation
id is highly correlated with member_id and 1 other fieldsHigh correlation
member_id is highly correlated with id and 1 other fieldsHigh correlation
loan_amnt is highly correlated with funded_amnt and 6 other fieldsHigh correlation
funded_amnt is highly correlated with loan_amnt and 6 other fieldsHigh correlation
funded_amnt_inv is highly correlated with loan_amnt and 6 other fieldsHigh correlation
installment is highly correlated with loan_amnt and 6 other fieldsHigh correlation
delinq_2yrs is highly correlated with mths_since_last_delinqHigh correlation
mths_since_last_delinq is highly correlated with delinq_2yrsHigh correlation
mths_since_last_record is highly correlated with id and 3 other fieldsHigh correlation
open_acc is highly correlated with total_accHigh correlation
pub_rec is highly correlated with mths_since_last_record and 1 other fieldsHigh correlation
total_acc is highly correlated with open_accHigh correlation
out_prncp is highly correlated with out_prncp_invHigh correlation
out_prncp_inv is highly correlated with out_prncpHigh correlation
total_pymnt is highly correlated with loan_amnt and 6 other fieldsHigh correlation
total_pymnt_inv is highly correlated with loan_amnt and 6 other fieldsHigh correlation
total_rec_prncp is highly correlated with loan_amnt and 7 other fieldsHigh correlation
total_rec_int is highly correlated with loan_amnt and 6 other fieldsHigh correlation
recoveries is highly correlated with collection_recovery_feeHigh correlation
collection_recovery_fee is highly correlated with recoveriesHigh correlation
last_pymnt_amnt is highly correlated with total_rec_prncpHigh correlation
pub_rec_bankruptcies is highly correlated with mths_since_last_record and 1 other fieldsHigh correlation
id is highly correlated with member_idHigh correlation
member_id is highly correlated with idHigh correlation
loan_amnt is highly correlated with funded_amnt and 6 other fieldsHigh correlation
funded_amnt is highly correlated with loan_amnt and 6 other fieldsHigh correlation
funded_amnt_inv is highly correlated with loan_amnt and 6 other fieldsHigh correlation
installment is highly correlated with loan_amnt and 6 other fieldsHigh correlation
delinq_2yrs is highly correlated with mths_since_last_delinqHigh correlation
mths_since_last_delinq is highly correlated with delinq_2yrsHigh correlation
mths_since_last_record is highly correlated with pub_rec and 1 other fieldsHigh correlation
open_acc is highly correlated with total_accHigh correlation
pub_rec is highly correlated with mths_since_last_record and 1 other fieldsHigh correlation
total_acc is highly correlated with open_accHigh correlation
out_prncp is highly correlated with out_prncp_invHigh correlation
out_prncp_inv is highly correlated with out_prncpHigh correlation
total_pymnt is highly correlated with loan_amnt and 6 other fieldsHigh correlation
total_pymnt_inv is highly correlated with loan_amnt and 6 other fieldsHigh correlation
total_rec_prncp is highly correlated with loan_amnt and 6 other fieldsHigh correlation
total_rec_int is highly correlated with loan_amnt and 6 other fieldsHigh correlation
recoveries is highly correlated with collection_recovery_feeHigh correlation
collection_recovery_fee is highly correlated with recoveriesHigh correlation
pub_rec_bankruptcies is highly correlated with mths_since_last_record and 1 other fieldsHigh correlation
loan_status is highly correlated with acc_now_delinq and 9 other fieldsHigh correlation
pub_rec is highly correlated with acc_now_delinq and 9 other fieldsHigh correlation
acc_now_delinq is highly correlated with loan_status and 20 other fieldsHigh correlation
chargeoff_within_12_mths is highly correlated with loan_status and 20 other fieldsHigh correlation
tax_liens is highly correlated with loan_status and 20 other fieldsHigh correlation
term is highly correlated with acc_now_delinq and 9 other fieldsHigh correlation
initial_list_status is highly correlated with loan_status and 20 other fieldsHigh correlation
purpose is highly correlated with acc_now_delinq and 8 other fieldsHigh correlation
next_pymnt_d is highly correlated with loan_status and 10 other fieldsHigh correlation
delinq_amnt is highly correlated with loan_status and 20 other fieldsHigh correlation
policy_code is highly correlated with loan_status and 20 other fieldsHigh correlation
pymnt_plan is highly correlated with loan_status and 20 other fieldsHigh correlation
pub_rec_bankruptcies is highly correlated with pub_rec and 9 other fieldsHigh correlation
sub_grade is highly correlated with acc_now_delinq and 9 other fieldsHigh correlation
emp_length is highly correlated with acc_now_delinq and 8 other fieldsHigh correlation
addr_state is highly correlated with acc_now_delinq and 8 other fieldsHigh correlation
home_ownership is highly correlated with acc_now_delinq and 8 other fieldsHigh correlation
collections_12_mths_ex_med is highly correlated with loan_status and 20 other fieldsHigh correlation
grade is highly correlated with acc_now_delinq and 9 other fieldsHigh correlation
application_type is highly correlated with loan_status and 20 other fieldsHigh correlation
issue_d is highly correlated with acc_now_delinq and 8 other fieldsHigh correlation
verification_status is highly correlated with acc_now_delinq and 8 other fieldsHigh correlation
id is highly correlated with member_id and 2 other fieldsHigh correlation
member_id is highly correlated with id and 2 other fieldsHigh correlation
loan_amnt is highly correlated with funded_amnt and 7 other fieldsHigh correlation
funded_amnt is highly correlated with loan_amnt and 7 other fieldsHigh correlation
funded_amnt_inv is highly correlated with loan_amnt and 8 other fieldsHigh correlation
term is highly correlated with sub_grade and 1 other fieldsHigh correlation
installment is highly correlated with loan_amnt and 6 other fieldsHigh correlation
grade is highly correlated with sub_gradeHigh correlation
sub_grade is highly correlated with term and 2 other fieldsHigh correlation
issue_d is highly correlated with id and 2 other fieldsHigh correlation
loan_status is highly correlated with out_prncp and 1 other fieldsHigh correlation
mths_since_last_record is highly correlated with id and 5 other fieldsHigh correlation
open_acc is highly correlated with total_accHigh correlation
pub_rec is highly correlated with mths_since_last_record and 1 other fieldsHigh correlation
total_acc is highly correlated with open_accHigh correlation
out_prncp is highly correlated with loan_status and 2 other fieldsHigh correlation
out_prncp_inv is highly correlated with loan_status and 2 other fieldsHigh correlation
total_pymnt is highly correlated with loan_amnt and 7 other fieldsHigh correlation
total_pymnt_inv is highly correlated with loan_amnt and 7 other fieldsHigh correlation
total_rec_prncp is highly correlated with loan_amnt and 7 other fieldsHigh correlation
total_rec_int is highly correlated with loan_amnt and 10 other fieldsHigh correlation
recoveries is highly correlated with collection_recovery_feeHigh correlation
collection_recovery_fee is highly correlated with recoveriesHigh correlation
last_pymnt_amnt is highly correlated with loan_amnt and 5 other fieldsHigh correlation
pub_rec_bankruptcies is highly correlated with mths_since_last_record and 1 other fieldsHigh correlation
desc has 8192 (32.8%) missing values Missing
mths_since_last_delinq has 16240 (65.0%) missing values Missing
mths_since_last_record has 23320 (93.3%) missing values Missing
next_pymnt_d has 24301 (97.2%) missing values Missing
mths_since_last_major_derog has 24999 (100.0%) missing values Missing
annual_inc_joint has 24999 (100.0%) missing values Missing
dti_joint has 24999 (100.0%) missing values Missing
verification_status_joint has 24999 (100.0%) missing values Missing
tot_coll_amt has 24999 (100.0%) missing values Missing
tot_cur_bal has 24999 (100.0%) missing values Missing
open_acc_6m has 24999 (100.0%) missing values Missing
open_il_6m has 24999 (100.0%) missing values Missing
open_il_12m has 24999 (100.0%) missing values Missing
open_il_24m has 24999 (100.0%) missing values Missing
mths_since_rcnt_il has 24999 (100.0%) missing values Missing
total_bal_il has 24999 (100.0%) missing values Missing
il_util has 24999 (100.0%) missing values Missing
open_rv_12m has 24999 (100.0%) missing values Missing
open_rv_24m has 24999 (100.0%) missing values Missing
max_bal_bc has 24999 (100.0%) missing values Missing
all_util has 24999 (100.0%) missing values Missing
total_rev_hi_lim has 24999 (100.0%) missing values Missing
inq_fi has 24999 (100.0%) missing values Missing
total_cu_tl has 24999 (100.0%) missing values Missing
inq_last_12m has 24999 (100.0%) missing values Missing
acc_open_past_24mths has 24999 (100.0%) missing values Missing
avg_cur_bal has 24999 (100.0%) missing values Missing
bc_open_to_buy has 24999 (100.0%) missing values Missing
bc_util has 24999 (100.0%) missing values Missing
mo_sin_old_il_acct has 24999 (100.0%) missing values Missing
mo_sin_old_rev_tl_op has 24999 (100.0%) missing values Missing
mo_sin_rcnt_rev_tl_op has 24999 (100.0%) missing values Missing
mo_sin_rcnt_tl has 24999 (100.0%) missing values Missing
mort_acc has 24999 (100.0%) missing values Missing
mths_since_recent_bc has 24999 (100.0%) missing values Missing
mths_since_recent_bc_dlq has 24999 (100.0%) missing values Missing
mths_since_recent_inq has 24999 (100.0%) missing values Missing
mths_since_recent_revol_delinq has 24999 (100.0%) missing values Missing
num_accts_ever_120_pd has 24999 (100.0%) missing values Missing
num_actv_bc_tl has 24999 (100.0%) missing values Missing
num_actv_rev_tl has 24999 (100.0%) missing values Missing
num_bc_sats has 24999 (100.0%) missing values Missing
num_bc_tl has 24999 (100.0%) missing values Missing
num_il_tl has 24999 (100.0%) missing values Missing
num_op_rev_tl has 24999 (100.0%) missing values Missing
num_rev_accts has 24999 (100.0%) missing values Missing
num_rev_tl_bal_gt_0 has 24999 (100.0%) missing values Missing
num_sats has 24999 (100.0%) missing values Missing
num_tl_120dpd_2m has 24999 (100.0%) missing values Missing
num_tl_30dpd has 24999 (100.0%) missing values Missing
num_tl_90g_dpd_24m has 24999 (100.0%) missing values Missing
num_tl_op_past_12m has 24999 (100.0%) missing values Missing
pct_tl_nvr_dlq has 24999 (100.0%) missing values Missing
percent_bc_gt_75 has 24999 (100.0%) missing values Missing
pub_rec_bankruptcies has 417 (1.7%) missing values Missing
tot_hi_cred_lim has 24999 (100.0%) missing values Missing
total_bal_ex_mort has 24999 (100.0%) missing values Missing
total_bc_limit has 24999 (100.0%) missing values Missing
total_il_high_credit_limit has 24999 (100.0%) missing values Missing
annual_inc is highly skewed (γ1 = 36.3657122) Skewed
collection_recovery_fee is highly skewed (γ1 = 23.05081549) Skewed
url is uniformly distributed Uniform
id has unique values Unique
member_id has unique values Unique
url has unique values Unique
mths_since_last_major_derog is an unsupported type, check if it needs cleaning or further analysis Unsupported
annual_inc_joint is an unsupported type, check if it needs cleaning or further analysis Unsupported
dti_joint is an unsupported type, check if it needs cleaning or further analysis Unsupported
verification_status_joint is an unsupported type, check if it needs cleaning or further analysis Unsupported
tot_coll_amt is an unsupported type, check if it needs cleaning or further analysis Unsupported
tot_cur_bal is an unsupported type, check if it needs cleaning or further analysis Unsupported
open_acc_6m is an unsupported type, check if it needs cleaning or further analysis Unsupported
open_il_6m is an unsupported type, check if it needs cleaning or further analysis Unsupported
open_il_12m is an unsupported type, check if it needs cleaning or further analysis Unsupported
open_il_24m is an unsupported type, check if it needs cleaning or further analysis Unsupported
mths_since_rcnt_il is an unsupported type, check if it needs cleaning or further analysis Unsupported
total_bal_il is an unsupported type, check if it needs cleaning or further analysis Unsupported
il_util is an unsupported type, check if it needs cleaning or further analysis Unsupported
open_rv_12m is an unsupported type, check if it needs cleaning or further analysis Unsupported
open_rv_24m is an unsupported type, check if it needs cleaning or further analysis Unsupported
max_bal_bc is an unsupported type, check if it needs cleaning or further analysis Unsupported
all_util is an unsupported type, check if it needs cleaning or further analysis Unsupported
total_rev_hi_lim is an unsupported type, check if it needs cleaning or further analysis Unsupported
inq_fi is an unsupported type, check if it needs cleaning or further analysis Unsupported
total_cu_tl is an unsupported type, check if it needs cleaning or further analysis Unsupported
inq_last_12m is an unsupported type, check if it needs cleaning or further analysis Unsupported
acc_open_past_24mths is an unsupported type, check if it needs cleaning or further analysis Unsupported
avg_cur_bal is an unsupported type, check if it needs cleaning or further analysis Unsupported
bc_open_to_buy is an unsupported type, check if it needs cleaning or further analysis Unsupported
bc_util is an unsupported type, check if it needs cleaning or further analysis Unsupported
mo_sin_old_il_acct is an unsupported type, check if it needs cleaning or further analysis Unsupported
mo_sin_old_rev_tl_op is an unsupported type, check if it needs cleaning or further analysis Unsupported
mo_sin_rcnt_rev_tl_op is an unsupported type, check if it needs cleaning or further analysis Unsupported
mo_sin_rcnt_tl is an unsupported type, check if it needs cleaning or further analysis Unsupported
mort_acc is an unsupported type, check if it needs cleaning or further analysis Unsupported
mths_since_recent_bc is an unsupported type, check if it needs cleaning or further analysis Unsupported
mths_since_recent_bc_dlq is an unsupported type, check if it needs cleaning or further analysis Unsupported
mths_since_recent_inq is an unsupported type, check if it needs cleaning or further analysis Unsupported
mths_since_recent_revol_delinq is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_accts_ever_120_pd is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_actv_bc_tl is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_actv_rev_tl is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_bc_sats is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_bc_tl is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_il_tl is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_op_rev_tl is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_rev_accts is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_rev_tl_bal_gt_0 is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_sats is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_tl_120dpd_2m is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_tl_30dpd is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_tl_90g_dpd_24m is an unsupported type, check if it needs cleaning or further analysis Unsupported
num_tl_op_past_12m is an unsupported type, check if it needs cleaning or further analysis Unsupported
pct_tl_nvr_dlq is an unsupported type, check if it needs cleaning or further analysis Unsupported
percent_bc_gt_75 is an unsupported type, check if it needs cleaning or further analysis Unsupported
tot_hi_cred_lim is an unsupported type, check if it needs cleaning or further analysis Unsupported
total_bal_ex_mort is an unsupported type, check if it needs cleaning or further analysis Unsupported
total_bc_limit is an unsupported type, check if it needs cleaning or further analysis Unsupported
total_il_high_credit_limit is an unsupported type, check if it needs cleaning or further analysis Unsupported
delinq_2yrs has 22317 (89.3%) zeros Zeros
inq_last_6mths has 12185 (48.7%) zeros Zeros
mths_since_last_delinq has 260 (1.0%) zeros Zeros
mths_since_last_record has 404 (1.6%) zeros Zeros
revol_bal has 621 (2.5%) zeros Zeros
out_prncp has 24301 (97.2%) zeros Zeros
out_prncp_inv has 24301 (97.2%) zeros Zeros
total_rec_late_fee has 23744 (95.0%) zeros Zeros
recoveries has 22375 (89.5%) zeros Zeros
collection_recovery_fee has 22634 (90.5%) zeros Zeros

Reproduction

Analysis started2021-10-21 17:23:14.159439
Analysis finished2021-10-21 17:25:40.311837
Duration2 minutes and 26.15 seconds
Software versionpandas-profiling v3.1.1
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct24999
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean682473.1533
Minimum55742
Maximum1076863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum55742
5-th percentile373694.5
Q1516533
median664737
Q3835525.5
95-th percentile1039965.6
Maximum1076863
Range1021121
Interquartile range (IQR)318992.5

Descriptive statistics

Standard deviation209488.6065
Coefficient of variation (CV)0.3069550875
Kurtosis-0.7272517301
Mean682473.1533
Median Absolute Deviation (MAD)158849
Skewness0.09231438232
Sum1.706114636 × 1010
Variance4.388547625 × 1010
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3953481
 
< 0.1%
3243151
 
< 0.1%
6765431
 
< 0.1%
6936481
 
< 0.1%
10165171
 
< 0.1%
5575721
 
< 0.1%
6021901
 
< 0.1%
3877841
 
< 0.1%
4840411
 
< 0.1%
7850981
 
< 0.1%
Other values (24989)24989
> 99.9%
ValueCountFrequency (%)
557421
< 0.1%
572451
< 0.1%
614191
< 0.1%
654261
< 0.1%
656401
< 0.1%
667491
< 0.1%
669641
< 0.1%
675031
< 0.1%
681631
< 0.1%
683811
< 0.1%
ValueCountFrequency (%)
10768631
< 0.1%
10720531
< 0.1%
10699711
< 0.1%
10698001
< 0.1%
10697591
< 0.1%
10697421
< 0.1%
10697401
< 0.1%
10696571
< 0.1%
10695911
< 0.1%
10695591
< 0.1%

member_id
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIQUE

Distinct24999
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean849838.78
Minimum73673
Maximum1304884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum73673
5-th percentile391336.6
Q1667220
median849671
Q31044731.5
95-th percentile1269524.4
Maximum1304884
Range1231211
Interquartile range (IQR)377511.5

Descriptive statistics

Standard deviation264256.3951
Coefficient of variation (CV)0.3109488545
Kurtosis-0.5627700578
Mean849838.78
Median Absolute Deviation (MAD)189294
Skewness-0.2023018594
Sum2.124511966 × 1010
Variance6.983144237 × 1010
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6246391
 
< 0.1%
7359061
 
< 0.1%
6560051
 
< 0.1%
7276861
 
< 0.1%
5669051
 
< 0.1%
8837941
 
< 0.1%
9914831
 
< 0.1%
8441841
 
< 0.1%
9038201
 
< 0.1%
4163981
 
< 0.1%
Other values (24989)24989
> 99.9%
ValueCountFrequency (%)
736731
< 0.1%
747241
< 0.1%
765831
< 0.1%
869991
< 0.1%
909621
< 0.1%
921741
< 0.1%
923901
< 0.1%
924231
< 0.1%
925421
< 0.1%
930571
< 0.1%
ValueCountFrequency (%)
13048841
< 0.1%
13048711
< 0.1%
13048551
< 0.1%
13047641
< 0.1%
13046791
< 0.1%
13046341
< 0.1%
13046081
< 0.1%
13045671
< 0.1%
13042891
< 0.1%
13042551
< 0.1%

loan_amnt
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct781
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11262.4985
Minimum500
Maximum35000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum500
5-th percentile2400
Q15562.5
median10000
Q315000
95-th percentile25000
Maximum35000
Range34500
Interquartile range (IQR)9437.5

Descriptive statistics

Standard deviation7391.976258
Coefficient of variation (CV)0.6563353822
Kurtosis0.7453467735
Mean11262.4985
Median Absolute Deviation (MAD)5000
Skewness1.043139418
Sum281551200
Variance54641313
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100001804
 
7.2%
120001508
 
6.0%
50001259
 
5.0%
60001225
 
4.9%
150001195
 
4.8%
200001039
 
4.2%
8000964
 
3.9%
25000887
 
3.5%
4000683
 
2.7%
3000650
 
2.6%
Other values (771)13785
55.1%
ValueCountFrequency (%)
5002
 
< 0.1%
9002
 
< 0.1%
9501
 
< 0.1%
1000166
0.7%
10503
 
< 0.1%
11003
 
< 0.1%
11251
 
< 0.1%
11501
 
< 0.1%
120085
0.3%
12506
 
< 0.1%
ValueCountFrequency (%)
35000398
1.6%
348002
 
< 0.1%
345251
 
< 0.1%
344754
 
< 0.1%
342001
 
< 0.1%
3400011
 
< 0.1%
339505
 
< 0.1%
336004
 
< 0.1%
335001
 
< 0.1%
332501
 
< 0.1%

funded_amnt
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct951
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10985.0994
Minimum500
Maximum35000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum500
5-th percentile2400
Q15500
median10000
Q315000
95-th percentile25000
Maximum35000
Range34500
Interquartile range (IQR)9500

Descriptive statistics

Standard deviation7123.122668
Coefficient of variation (CV)0.648434976
Kurtosis0.9385199004
Mean10985.0994
Median Absolute Deviation (MAD)5000
Skewness1.071784771
Sum274616500
Variance50738876.54
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100001750
 
7.0%
120001453
 
5.8%
50001253
 
5.0%
60001219
 
4.9%
150001119
 
4.5%
8000955
 
3.8%
20000919
 
3.7%
25000725
 
2.9%
4000682
 
2.7%
3000646
 
2.6%
Other values (941)14278
57.1%
ValueCountFrequency (%)
5002
 
< 0.1%
9002
 
< 0.1%
9501
 
< 0.1%
1000166
0.7%
10503
 
< 0.1%
11003
 
< 0.1%
11251
 
< 0.1%
11501
 
< 0.1%
120087
0.3%
12506
 
< 0.1%
ValueCountFrequency (%)
35000330
1.3%
348001
 
< 0.1%
345251
 
< 0.1%
344753
 
< 0.1%
342501
 
< 0.1%
3400010
 
< 0.1%
339504
 
< 0.1%
336004
 
< 0.1%
335001
 
< 0.1%
332501
 
< 0.1%

funded_amnt_inv
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5518
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10435.34441
Minimum0
Maximum35000
Zeros87
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile2000
Q15000
median9000
Q314400
95-th percentile24700
Maximum35000
Range35000
Interquartile range (IQR)9400

Descriptive statistics

Standard deviation7064.11343
Coefficient of variation (CV)0.676941091
Kurtosis1.06142007
Mean10435.34441
Median Absolute Deviation (MAD)4200
Skewness1.095251814
Sum260873174.9
Variance49901698.55
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000822
 
3.3%
5000805
 
3.2%
6000773
 
3.1%
12000695
 
2.8%
8000533
 
2.1%
3000510
 
2.0%
4000479
 
1.9%
15000411
 
1.6%
7000379
 
1.5%
2000280
 
1.1%
Other values (5508)19312
77.3%
ValueCountFrequency (%)
087
0.3%
0.0006546071
 
< 0.1%
0.0018676961
 
< 0.1%
0.0019630931
 
< 0.1%
0.0022835981
 
< 0.1%
0.0023730581
 
< 0.1%
0.0029150211
 
< 0.1%
0.0030844911
 
< 0.1%
0.003100161
 
< 0.1%
0.004353681
 
< 0.1%
ValueCountFrequency (%)
3500081
0.3%
34993.655391
 
< 0.1%
34993.325711
 
< 0.1%
34993.196961
 
< 0.1%
34987.984521
 
< 0.1%
34977.346741
 
< 0.1%
34975.816361
 
< 0.1%
3497551
0.2%
34972.352451
 
< 0.1%
34972.121831
 
< 0.1%

term
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
36 months
18203 
60 months
6796 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters249990
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row 36 months
2nd row 36 months
3rd row 36 months
4th row 60 months
5th row 60 months

Common Values

ValueCountFrequency (%)
36 months18203
72.8%
60 months6796
 
27.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
months24999
50.0%
3618203
36.4%
606796
 
13.6%

Most occurring characters

ValueCountFrequency (%)
49998
20.0%
s24999
10.0%
h24999
10.0%
t24999
10.0%
n24999
10.0%
o24999
10.0%
m24999
10.0%
624999
10.0%
318203
 
7.3%
06796
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter149994
60.0%
Space Separator49998
 
20.0%
Decimal Number49998
 
20.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s24999
16.7%
h24999
16.7%
t24999
16.7%
n24999
16.7%
o24999
16.7%
m24999
16.7%
Decimal Number
ValueCountFrequency (%)
624999
50.0%
318203
36.4%
06796
 
13.6%
Space Separator
ValueCountFrequency (%)
49998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin149994
60.0%
Common99996
40.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
s24999
16.7%
h24999
16.7%
t24999
16.7%
n24999
16.7%
o24999
16.7%
m24999
16.7%
Common
ValueCountFrequency (%)
49998
50.0%
624999
25.0%
318203
 
18.2%
06796
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII249990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49998
20.0%
s24999
10.0%
h24999
10.0%
t24999
10.0%
n24999
10.0%
o24999
10.0%
m24999
10.0%
624999
10.0%
318203
 
7.3%
06796
 
2.7%

int_rate
Categorical

HIGH CARDINALITY

Distinct361
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
10.99%
 
602
13.49%
 
520
11.49%
 
499
7.51%
 
496
7.88%
 
476
Other values (356)
22406 

Length

Max length6
Median length6
Mean length5.697067883
Min length5

Characters and Unicode

Total characters142421
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)0.1%

Sample

1st row7.51%
2nd row8.94%
3rd row13.57%
4th row20.89%
5th row17.49%

Common Values

ValueCountFrequency (%)
10.99%602
 
2.4%
13.49%520
 
2.1%
11.49%499
 
2.0%
7.51%496
 
2.0%
7.88%476
 
1.9%
7.49%427
 
1.7%
11.71%374
 
1.5%
9.99%367
 
1.5%
11.99%360
 
1.4%
5.42%355
 
1.4%
Other values (351)20523
82.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
10.99602
 
2.4%
13.49520
 
2.1%
11.49499
 
2.0%
7.51496
 
2.0%
7.88476
 
1.9%
7.49427
 
1.7%
11.71374
 
1.5%
9.99367
 
1.5%
11.99360
 
1.4%
5.42355
 
1.4%
Other values (351)20523
82.1%

Most occurring characters

ValueCountFrequency (%)
%24999
17.6%
.24999
17.6%
123989
16.8%
913742
9.6%
28063
 
5.7%
67636
 
5.4%
77588
 
5.3%
47038
 
4.9%
56286
 
4.4%
36230
 
4.4%
Other values (2)11851
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number92423
64.9%
Other Punctuation49998
35.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
123989
26.0%
913742
14.9%
28063
 
8.7%
67636
 
8.3%
77588
 
8.2%
47038
 
7.6%
56286
 
6.8%
36230
 
6.7%
86022
 
6.5%
05829
 
6.3%
Other Punctuation
ValueCountFrequency (%)
%24999
50.0%
.24999
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common142421
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
%24999
17.6%
.24999
17.6%
123989
16.8%
913742
9.6%
28063
 
5.7%
67636
 
5.4%
77588
 
5.3%
47038
 
4.9%
56286
 
4.4%
36230
 
4.4%
Other values (2)11851
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII142421
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
%24999
17.6%
.24999
17.6%
123989
16.8%
913742
9.6%
28063
 
5.7%
67636
 
5.4%
77588
 
5.3%
47038
 
4.9%
56286
 
4.4%
36230
 
4.4%
Other values (2)11851
8.3%

installment
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct11618
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean325.5068243
Minimum16.08
Maximum1305.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum16.08
5-th percentile73.928
Q1168.64
median283.2
Q3431.25
95-th percentile753.51
Maximum1305.19
Range1289.11
Interquartile range (IQR)262.61

Descriptive statistics

Standard deviation206.9950526
Coefficient of variation (CV)0.6359161686
Kurtosis1.230732774
Mean325.5068243
Median Absolute Deviation (MAD)122.73
Skewness1.115339594
Sum8137345.1
Variance42846.95178
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
311.1147
 
0.2%
311.0235
 
0.1%
180.9635
 
0.1%
339.3130
 
0.1%
187.6930
 
0.1%
186.6130
 
0.1%
312.8229
 
0.1%
303.2728
 
0.1%
368.4527
 
0.1%
373.3327
 
0.1%
Other values (11608)24681
98.7%
ValueCountFrequency (%)
16.081
< 0.1%
16.471
< 0.1%
21.251
< 0.1%
21.991
< 0.1%
22.241
< 0.1%
22.941
< 0.1%
23.171
< 0.1%
23.511
< 0.1%
24.161
< 0.1%
24.271
< 0.1%
ValueCountFrequency (%)
1305.191
 
< 0.1%
1295.211
 
< 0.1%
1288.11
 
< 0.1%
1283.51
 
< 0.1%
1276.62
< 0.1%
1272.21
 
< 0.1%
1269.733
< 0.1%
1265.161
 
< 0.1%
1263.231
 
< 0.1%
1257.982
< 0.1%

grade
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
B
7497 
A
6293 
C
5090 
D
3431 
E
1804 
Other values (2)
884 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters24999
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowA
3rd rowC
4th rowF
5th rowD

Common Values

ValueCountFrequency (%)
B7497
30.0%
A6293
25.2%
C5090
20.4%
D3431
13.7%
E1804
 
7.2%
F678
 
2.7%
G206
 
0.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
b7497
30.0%
a6293
25.2%
c5090
20.4%
d3431
13.7%
e1804
 
7.2%
f678
 
2.7%
g206
 
0.8%

Most occurring characters

ValueCountFrequency (%)
B7497
30.0%
A6293
25.2%
C5090
20.4%
D3431
13.7%
E1804
 
7.2%
F678
 
2.7%
G206
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter24999
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B7497
30.0%
A6293
25.2%
C5090
20.4%
D3431
13.7%
E1804
 
7.2%
F678
 
2.7%
G206
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Latin24999
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
B7497
30.0%
A6293
25.2%
C5090
20.4%
D3431
13.7%
E1804
 
7.2%
F678
 
2.7%
G206
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII24999
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B7497
30.0%
A6293
25.2%
C5090
20.4%
D3431
13.7%
E1804
 
7.2%
F678
 
2.7%
G206
 
0.8%

sub_grade
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct35
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
A4
1831 
B3
1777 
A5
1757 
B5
1732 
B4
 
1573
Other values (30)
16329 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters49998
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA4
2nd rowA5
3rd rowC3
4th rowF1
5th rowD5

Common Values

ValueCountFrequency (%)
A41831
 
7.3%
B31777
 
7.1%
A51757
 
7.0%
B51732
 
6.9%
B41573
 
6.3%
C11338
 
5.4%
B21290
 
5.2%
C21267
 
5.1%
B11125
 
4.5%
A31107
 
4.4%
Other values (25)10202
40.8%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
a41831
 
7.3%
b31777
 
7.1%
a51757
 
7.0%
b51732
 
6.9%
b41573
 
6.3%
c11338
 
5.4%
b21290
 
5.2%
c21267
 
5.1%
b11125
 
4.5%
a31107
 
4.4%
Other values (25)10202
40.8%

Most occurring characters

ValueCountFrequency (%)
B7497
15.0%
A6293
12.6%
45225
10.5%
55164
10.3%
35105
10.2%
C5090
10.2%
24978
10.0%
14527
9.1%
D3431
6.9%
E1804
 
3.6%
Other values (2)884
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter24999
50.0%
Decimal Number24999
50.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B7497
30.0%
A6293
25.2%
C5090
20.4%
D3431
13.7%
E1804
 
7.2%
F678
 
2.7%
G206
 
0.8%
Decimal Number
ValueCountFrequency (%)
45225
20.9%
55164
20.7%
35105
20.4%
24978
19.9%
14527
18.1%

Most occurring scripts

ValueCountFrequency (%)
Latin24999
50.0%
Common24999
50.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
B7497
30.0%
A6293
25.2%
C5090
20.4%
D3431
13.7%
E1804
 
7.2%
F678
 
2.7%
G206
 
0.8%
Common
ValueCountFrequency (%)
45225
20.9%
55164
20.7%
35105
20.4%
24978
19.9%
14527
18.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII49998
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
B7497
15.0%
A6293
12.6%
45225
10.5%
55164
10.3%
35105
10.2%
C5090
10.2%
24978
10.0%
14527
9.1%
D3431
6.9%
E1804
 
3.6%
Other values (2)884
 
1.8%

emp_title
Categorical

HIGH CARDINALITY

Distinct19952
Distinct (%)79.8%
Missing6
Missing (%)< 0.1%
Memory size195.4 KiB
Bank of America
 
109
IBM
 
66
AT&T
 
59
Kaiser Permanente
 
56
Lockheed Martin
 
44
Other values (19947)
24659 

Length

Max length78
Median length18
Mean length18.51074301
Min length2

Characters and Unicode

Total characters462639
Distinct characters92
Distinct categories14 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17797 ?
Unique (%)71.2%

Sample

1st row15
2nd row1400
3rd row36000
4th row553742017
5th row old palm inc

Common Values

ValueCountFrequency (%)
Bank of America109
 
0.4%
IBM66
 
0.3%
AT&T59
 
0.2%
Kaiser Permanente56
 
0.2%
Lockheed Martin44
 
0.2%
JP Morgan Chase37
 
0.1%
Department of Defense36
 
0.1%
JPMorgan Chase36
 
0.1%
Booz Allen Hamilton34
 
0.1%
Northrop Grumman34
 
0.1%
Other values (19942)24482
97.9%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
inc2262
 
3.4%
of1949
 
2.9%
871
 
1.3%
and701
 
1.0%
county613
 
0.9%
city606
 
0.9%
services564
 
0.8%
bank554
 
0.8%
center547
 
0.8%
school496
 
0.7%
Other values (14290)58283
86.4%

Most occurring characters

ValueCountFrequency (%)
43475
 
9.4%
e37182
 
8.0%
a30148
 
6.5%
n29875
 
6.5%
o29182
 
6.3%
i27145
 
5.9%
r26863
 
5.8%
t25507
 
5.5%
s20030
 
4.3%
l17960
 
3.9%
Other values (82)175272
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter331474
71.6%
Uppercase Letter80137
 
17.3%
Space Separator43475
 
9.4%
Other Punctuation5920
 
1.3%
Decimal Number768
 
0.2%
Dash Punctuation643
 
0.1%
Open Punctuation101
 
< 0.1%
Close Punctuation99
 
< 0.1%
Math Symbol14
 
< 0.1%
Other Symbol2
 
< 0.1%
Other values (4)6
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C11070
13.8%
A6545
 
8.2%
S6044
 
7.5%
I5555
 
6.9%
M5074
 
6.3%
L4265
 
5.3%
P4187
 
5.2%
B3962
 
4.9%
E3941
 
4.9%
D3910
 
4.9%
Other values (18)25584
31.9%
Lowercase Letter
ValueCountFrequency (%)
e37182
11.2%
a30148
9.1%
n29875
9.0%
o29182
8.8%
i27145
 
8.2%
r26863
 
8.1%
t25507
 
7.7%
s20030
 
6.0%
l17960
 
5.4%
c16174
 
4.9%
Other values (17)71408
21.5%
Other Punctuation
ValueCountFrequency (%)
.2657
44.9%
,1542
26.0%
&988
 
16.7%
'460
 
7.8%
/211
 
3.6%
#27
 
0.5%
@7
 
0.1%
"7
 
0.1%
:5
 
0.1%
!5
 
0.1%
Other values (4)11
 
0.2%
Decimal Number
ValueCountFrequency (%)
1160
20.8%
2134
17.4%
3118
15.4%
078
10.2%
474
9.6%
556
 
7.3%
645
 
5.9%
943
 
5.6%
735
 
4.6%
825
 
3.3%
Open Punctuation
ValueCountFrequency (%)
(100
99.0%
[1
 
1.0%
Math Symbol
ValueCountFrequency (%)
+13
92.9%
|1
 
7.1%
Currency Symbol
ValueCountFrequency (%)
$1
50.0%
¢1
50.0%
Space Separator
ValueCountFrequency (%)
43475
100.0%
Dash Punctuation
ValueCountFrequency (%)
-643
100.0%
Close Punctuation
ValueCountFrequency (%)
)99
100.0%
Other Symbol
ValueCountFrequency (%)
©2
100.0%
Other Number
ValueCountFrequency (%)
²2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_1
100.0%
Control
ValueCountFrequency (%)
€1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin411611
89.0%
Common51028
 
11.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e37182
 
9.0%
a30148
 
7.3%
n29875
 
7.3%
o29182
 
7.1%
i27145
 
6.6%
r26863
 
6.5%
t25507
 
6.2%
s20030
 
4.9%
l17960
 
4.4%
c16174
 
3.9%
Other values (45)151545
36.8%
Common
ValueCountFrequency (%)
43475
85.2%
.2657
 
5.2%
,1542
 
3.0%
&988
 
1.9%
-643
 
1.3%
'460
 
0.9%
/211
 
0.4%
1160
 
0.3%
2134
 
0.3%
3118
 
0.2%
Other values (27)640
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII462629
> 99.9%
None10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43475
 
9.4%
e37182
 
8.0%
a30148
 
6.5%
n29875
 
6.5%
o29182
 
6.3%
i27145
 
5.9%
r26863
 
5.8%
t25507
 
5.5%
s20030
 
4.3%
l17960
 
3.9%
Other values (75)175262
37.9%
None
ValueCountFrequency (%)
©2
20.0%
²2
20.0%
Ã2
20.0%
Â1
10.0%
¢1
10.0%
€1
10.0%
â1
10.0%

emp_length
Categorical

HIGH CORRELATION

Distinct11
Distinct (%)< 0.1%
Missing41
Missing (%)0.2%
Memory size195.4 KiB
10+ years
5565 
2 years
2871 
< 1 year
2864 
3 years
2723 
4 years
2282 
Other values (6)
8653 

Length

Max length9
Median length7
Mean length7.475719208
Min length6

Characters and Unicode

Total characters186579
Distinct characters18
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10+ years
2nd row1 year
3rd row4 years
4th row10+ years
5th row5 years

Common Values

ValueCountFrequency (%)
10+ years5565
22.3%
2 years2871
11.5%
< 1 year2864
11.5%
3 years2723
10.9%
4 years2282
9.1%
5 years2150
 
8.6%
1 year2121
 
8.5%
6 years1427
 
5.7%
7 years1145
 
4.6%
8 years970
 
3.9%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
years19973
37.8%
105565
 
10.5%
year4985
 
9.4%
14985
 
9.4%
22871
 
5.4%
2864
 
5.4%
32723
 
5.2%
42282
 
4.3%
52150
 
4.1%
61427
 
2.7%
Other values (3)2955
 
5.6%

Most occurring characters

ValueCountFrequency (%)
27822
14.9%
r24958
13.4%
y24958
13.4%
e24958
13.4%
a24958
13.4%
s19973
10.7%
110550
 
5.7%
+5565
 
3.0%
05565
 
3.0%
22871
 
1.5%
Other values (8)14401
7.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter119805
64.2%
Decimal Number30523
 
16.4%
Space Separator27822
 
14.9%
Math Symbol8429
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
110550
34.6%
05565
18.2%
22871
 
9.4%
32723
 
8.9%
42282
 
7.5%
52150
 
7.0%
61427
 
4.7%
71145
 
3.8%
8970
 
3.2%
9840
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
r24958
20.8%
y24958
20.8%
e24958
20.8%
a24958
20.8%
s19973
16.7%
Math Symbol
ValueCountFrequency (%)
+5565
66.0%
<2864
34.0%
Space Separator
ValueCountFrequency (%)
27822
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin119805
64.2%
Common66774
35.8%

Most frequent character per script

Common
ValueCountFrequency (%)
27822
41.7%
110550
 
15.8%
+5565
 
8.3%
05565
 
8.3%
22871
 
4.3%
<2864
 
4.3%
32723
 
4.1%
42282
 
3.4%
52150
 
3.2%
61427
 
2.1%
Other values (3)2955
 
4.4%
Latin
ValueCountFrequency (%)
r24958
20.8%
y24958
20.8%
e24958
20.8%
a24958
20.8%
s19973
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII186579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27822
14.9%
r24958
13.4%
y24958
13.4%
e24958
13.4%
a24958
13.4%
s19973
10.7%
110550
 
5.7%
+5565
 
3.0%
05565
 
3.0%
22871
 
1.5%
Other values (8)14401
7.7%

home_ownership
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
RENT
12034 
MORTGAGE
11118 
OWN
1785 
OTHER
 
62

Length

Max length8
Median length4
Mean length5.710028401
Min length3

Characters and Unicode

Total characters142745
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRENT
2nd rowRENT
3rd rowOWN
4th rowMORTGAGE
5th rowMORTGAGE

Common Values

ValueCountFrequency (%)
RENT12034
48.1%
MORTGAGE11118
44.5%
OWN1785
 
7.1%
OTHER62
 
0.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
rent12034
48.1%
mortgage11118
44.5%
own1785
 
7.1%
other62
 
0.2%

Most occurring characters

ValueCountFrequency (%)
T23214
16.3%
E23214
16.3%
R23214
16.3%
G22236
15.6%
N13819
9.7%
O12965
9.1%
A11118
7.8%
M11118
7.8%
W1785
 
1.3%
H62
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter142745
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T23214
16.3%
E23214
16.3%
R23214
16.3%
G22236
15.6%
N13819
9.7%
O12965
9.1%
A11118
7.8%
M11118
7.8%
W1785
 
1.3%
H62
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin142745
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
T23214
16.3%
E23214
16.3%
R23214
16.3%
G22236
15.6%
N13819
9.7%
O12965
9.1%
A11118
7.8%
M11118
7.8%
W1785
 
1.3%
H62
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII142745
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
T23214
16.3%
E23214
16.3%
R23214
16.3%
G22236
15.6%
N13819
9.7%
O12965
9.1%
A11118
7.8%
M11118
7.8%
W1785
 
1.3%
H62
 
< 0.1%

annual_inc
Real number (ℝ≥0)

SKEWED

Distinct3624
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69941.35235
Minimum4080
Maximum6000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum4080
5-th percentile24996
Q142000
median60000
Q384000
95-th percentile142000
Maximum6000000
Range5995920
Interquartile range (IQR)42000

Descriptive statistics

Standard deviation69394.10716
Coefficient of variation (CV)0.9921756561
Kurtosis2591.622465
Mean69941.35235
Median Absolute Deviation (MAD)20000
Skewness36.3657122
Sum1748463867
Variance4815542108
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60000923
 
3.7%
50000682
 
2.7%
45000559
 
2.2%
40000543
 
2.2%
75000521
 
2.1%
65000517
 
2.1%
30000497
 
2.0%
70000482
 
1.9%
48000450
 
1.8%
80000437
 
1.7%
Other values (3614)19388
77.6%
ValueCountFrequency (%)
40801
 
< 0.1%
42001
 
< 0.1%
48001
 
< 0.1%
55001
 
< 0.1%
60003
 
< 0.1%
72002
 
< 0.1%
80003
 
< 0.1%
80041
 
< 0.1%
84721
 
< 0.1%
960015
0.1%
ValueCountFrequency (%)
60000001
< 0.1%
39000001
< 0.1%
20397841
< 0.1%
19000001
< 0.1%
17820001
< 0.1%
14400001
< 0.1%
13620001
< 0.1%
12000002
< 0.1%
11760001
< 0.1%
9480001
< 0.1%

verification_status
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
Not Verified
10762 
Verified
7886 
Source Verified
6351 

Length

Max length15
Median length12
Mean length11.50034001
Min length8

Characters and Unicode

Total characters287497
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSource Verified
2nd rowNot Verified
3rd rowNot Verified
4th rowVerified
5th rowNot Verified

Common Values

ValueCountFrequency (%)
Not Verified10762
43.0%
Verified7886
31.5%
Source Verified6351
25.4%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
verified24999
59.4%
not10762
25.6%
source6351
 
15.1%

Most occurring characters

ValueCountFrequency (%)
e56349
19.6%
i49998
17.4%
r31350
10.9%
d24999
8.7%
f24999
8.7%
V24999
8.7%
17113
 
6.0%
o17113
 
6.0%
t10762
 
3.7%
N10762
 
3.7%
Other values (3)19053
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter228272
79.4%
Uppercase Letter42112
 
14.6%
Space Separator17113
 
6.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e56349
24.7%
i49998
21.9%
r31350
13.7%
d24999
11.0%
f24999
11.0%
o17113
 
7.5%
t10762
 
4.7%
c6351
 
2.8%
u6351
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
V24999
59.4%
N10762
25.6%
S6351
 
15.1%
Space Separator
ValueCountFrequency (%)
17113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin270384
94.0%
Common17113
 
6.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e56349
20.8%
i49998
18.5%
r31350
11.6%
d24999
9.2%
f24999
9.2%
V24999
9.2%
o17113
 
6.3%
t10762
 
4.0%
N10762
 
4.0%
c6351
 
2.3%
Other values (2)12702
 
4.7%
Common
ValueCountFrequency (%)
17113
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII287497
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e56349
19.6%
i49998
17.4%
r31350
10.9%
d24999
8.7%
f24999
8.7%
V24999
8.7%
17113
 
6.0%
o17113
 
6.0%
t10762
 
3.7%
N10762
 
3.7%
Other values (3)19053
 
6.6%

issue_d
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct55
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
11-Dec
 
1426
11-Nov
 
1347
11-Sep
 
1324
11-Oct
 
1284
11-Aug
 
1215
Other values (50)
18403 

Length

Max length6
Median length6
Mean length5.836033441
Min length5

Characters and Unicode

Total characters145895
Distinct characters28
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row10-Sep
2nd row10-Jan
3rd row9-Oct
4th row11-Nov
5th row11-Jul

Common Values

ValueCountFrequency (%)
11-Dec1426
 
5.7%
11-Nov1347
 
5.4%
11-Sep1324
 
5.3%
11-Oct1284
 
5.1%
11-Aug1215
 
4.9%
11-Jul1175
 
4.7%
11-Jun1160
 
4.6%
11-May1051
 
4.2%
11-Apr1008
 
4.0%
11-Mar931
 
3.7%
Other values (45)13078
52.3%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
11-dec1426
 
5.7%
11-nov1347
 
5.4%
11-sep1324
 
5.3%
11-oct1284
 
5.1%
11-aug1215
 
4.9%
11-jul1175
 
4.7%
11-jun1160
 
4.6%
11-may1051
 
4.2%
11-apr1008
 
4.0%
11-mar931
 
3.7%
Other values (45)13078
52.3%

Most occurring characters

ValueCountFrequency (%)
134508
23.7%
-24999
17.1%
07292
 
5.0%
e6549
 
4.5%
u6536
 
4.5%
J5784
 
4.0%
c5203
 
3.6%
a5111
 
3.5%
p4108
 
2.8%
A4040
 
2.8%
Other values (18)41765
28.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter49998
34.3%
Decimal Number45899
31.5%
Dash Punctuation24999
17.1%
Uppercase Letter24999
17.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e6549
13.1%
u6536
13.1%
c5203
10.4%
a5111
10.2%
p4108
8.2%
n3580
7.2%
r3531
7.1%
v2584
 
5.2%
o2584
 
5.2%
t2430
 
4.9%
Other values (4)7782
15.6%
Uppercase Letter
ValueCountFrequency (%)
J5784
23.1%
A4040
16.2%
M3612
14.4%
D2773
11.1%
N2584
10.3%
O2430
9.7%
S2319
9.3%
F1457
 
5.8%
Decimal Number
ValueCountFrequency (%)
134508
75.2%
07292
 
15.9%
92996
 
6.5%
8953
 
2.1%
7150
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
-24999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin74997
51.4%
Common70898
48.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e6549
 
8.7%
u6536
 
8.7%
J5784
 
7.7%
c5203
 
6.9%
a5111
 
6.8%
p4108
 
5.5%
A4040
 
5.4%
M3612
 
4.8%
n3580
 
4.8%
r3531
 
4.7%
Other values (12)26943
35.9%
Common
ValueCountFrequency (%)
134508
48.7%
-24999
35.3%
07292
 
10.3%
92996
 
4.2%
8953
 
1.3%
7150
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII145895
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134508
23.7%
-24999
17.1%
07292
 
5.0%
e6549
 
4.5%
u6536
 
4.5%
J5784
 
4.0%
c5203
 
3.6%
a5111
 
3.5%
p4108
 
2.8%
A4040
 
2.8%
Other values (18)41765
28.6%

loan_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
Fully Paid
20827 
Charged Off
3474 
Current
 
698

Length

Max length11
Median length10
Mean length10.05520221
Min length7

Characters and Unicode

Total characters251370
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCharged Off
2nd rowFully Paid
3rd rowFully Paid
4th rowCurrent
5th rowFully Paid

Common Values

ValueCountFrequency (%)
Fully Paid20827
83.3%
Charged Off3474
 
13.9%
Current698
 
2.8%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
paid20827
42.2%
fully20827
42.2%
off3474
 
7.0%
charged3474
 
7.0%
current698
 
1.4%

Most occurring characters

ValueCountFrequency (%)
l41654
16.6%
d24301
9.7%
24301
9.7%
a24301
9.7%
u21525
8.6%
i20827
8.3%
y20827
8.3%
P20827
8.3%
F20827
8.3%
f6948
 
2.8%
Other values (8)25032
10.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter177769
70.7%
Uppercase Letter49300
 
19.6%
Space Separator24301
 
9.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
l41654
23.4%
d24301
13.7%
a24301
13.7%
u21525
12.1%
i20827
11.7%
y20827
11.7%
f6948
 
3.9%
r4870
 
2.7%
e4172
 
2.3%
h3474
 
2.0%
Other values (3)4870
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
P20827
42.2%
F20827
42.2%
C4172
 
8.5%
O3474
 
7.0%
Space Separator
ValueCountFrequency (%)
24301
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin227069
90.3%
Common24301
 
9.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
l41654
18.3%
d24301
10.7%
a24301
10.7%
u21525
9.5%
i20827
9.2%
y20827
9.2%
P20827
9.2%
F20827
9.2%
f6948
 
3.1%
r4870
 
2.1%
Other values (7)20162
8.9%
Common
ValueCountFrequency (%)
24301
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII251370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
l41654
16.6%
d24301
9.7%
24301
9.7%
a24301
9.7%
u21525
8.6%
i20827
8.3%
y20827
8.3%
P20827
8.3%
F20827
8.3%
f6948
 
2.8%
Other values (8)25032
10.0%

pymnt_plan
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
False
24999 
ValueCountFrequency (%)
False24999
100.0%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct24999
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
https://lendingclub.com/browse/loanDetail.action?loan_id=720833
 
1
https://lendingclub.com/browse/loanDetail.action?loan_id=703003
 
1
https://lendingclub.com/browse/loanDetail.action?loan_id=880495
 
1
https://lendingclub.com/browse/loanDetail.action?loan_id=753016
 
1
https://lendingclub.com/browse/loanDetail.action?loan_id=880102
 
1
Other values (24994)
24994 

Length

Max length64
Median length63
Mean length63.10700428
Min length62

Characters and Unicode

Total characters1577612
Distinct characters35
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24999 ?
Unique (%)100.0%

Sample

1st rowhttps://lendingclub.com/browse/loanDetail.action?loan_id=573354
2nd rowhttps://lendingclub.com/browse/loanDetail.action?loan_id=476321
3rd rowhttps://lendingclub.com/browse/loanDetail.action?loan_id=451484
4th rowhttps://lendingclub.com/browse/loanDetail.action?loan_id=1018129
5th rowhttps://lendingclub.com/browse/loanDetail.action?loan_id=800018

Common Values

ValueCountFrequency (%)
https://lendingclub.com/browse/loanDetail.action?loan_id=7208331
 
< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=7030031
 
< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=8804951
 
< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=7530161
 
< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=8801021
 
< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=6077081
 
< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=2489271
 
< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=5301291
 
< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=6403361
 
< 0.1%
https://lendingclub.com/browse/loanDetail.action?loan_id=6559511
 
< 0.1%
Other values (24989)24989
> 99.9%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
https://lendingclub.com/browse/loandetail.action?loan_id=7151571
 
< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=4397661
 
< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=4905401
 
< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=5956471
 
< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=8826971
 
< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=4637031
 
< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=4753481
 
< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=8821671
 
< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=8729601
 
< 0.1%
https://lendingclub.com/browse/loandetail.action?loan_id=8564521
 
< 0.1%
Other values (24989)24989
> 99.9%

Most occurring characters

ValueCountFrequency (%)
n124995
 
7.9%
l124995
 
7.9%
o124995
 
7.9%
i99996
 
6.3%
t99996
 
6.3%
a99996
 
6.3%
/99996
 
6.3%
c74997
 
4.8%
e74997
 
4.8%
b49998
 
3.2%
Other values (25)602651
38.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1149954
72.9%
Other Punctuation199992
 
12.7%
Decimal Number152669
 
9.7%
Uppercase Letter24999
 
1.6%
Connector Punctuation24999
 
1.6%
Math Symbol24999
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n124995
10.9%
l124995
10.9%
o124995
10.9%
i99996
8.7%
t99996
8.7%
a99996
8.7%
c74997
 
6.5%
e74997
 
6.5%
b49998
 
4.3%
d49998
 
4.3%
Other values (8)224991
19.6%
Decimal Number
ValueCountFrequency (%)
516887
11.1%
616869
11.0%
716430
10.8%
816266
10.7%
416127
10.6%
115080
9.9%
014997
9.8%
313805
9.0%
913546
8.9%
212662
8.3%
Other Punctuation
ValueCountFrequency (%)
/99996
50.0%
.49998
25.0%
:24999
 
12.5%
?24999
 
12.5%
Uppercase Letter
ValueCountFrequency (%)
D24999
100.0%
Connector Punctuation
ValueCountFrequency (%)
_24999
100.0%
Math Symbol
ValueCountFrequency (%)
=24999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1174953
74.5%
Common402659
 
25.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n124995
10.6%
l124995
10.6%
o124995
10.6%
i99996
 
8.5%
t99996
 
8.5%
a99996
 
8.5%
c74997
 
6.4%
e74997
 
6.4%
b49998
 
4.3%
d49998
 
4.3%
Other values (9)249990
21.3%
Common
ValueCountFrequency (%)
/99996
24.8%
.49998
12.4%
:24999
 
6.2%
?24999
 
6.2%
_24999
 
6.2%
=24999
 
6.2%
516887
 
4.2%
616869
 
4.2%
716430
 
4.1%
816266
 
4.0%
Other values (6)86217
21.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII1577612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n124995
 
7.9%
l124995
 
7.9%
o124995
 
7.9%
i99996
 
6.3%
t99996
 
6.3%
a99996
 
6.3%
/99996
 
6.3%
c74997
 
4.8%
e74997
 
4.8%
b49998
 
3.2%
Other values (25)602651
38.2%

desc
Categorical

HIGH CARDINALITY
MISSING

Distinct16661
Distinct (%)99.1%
Missing8192
Missing (%)32.8%
Memory size195.4 KiB
 
135
Debt Consolidation
 
4
refinancing
 
2
credit card debt consolidation
 
2
debt consolidation
 
2
Other values (16656)
16662 

Length

Max length3976
Median length288
Mean length427.4410067
Min length1

Characters and Unicode

Total characters7184001
Distinct characters139
Distinct categories17 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16650 ?
Unique (%)99.1%

Sample

1st row Borrower added on 08/30/10 > thank you<br/>
2nd row Borrower added on 01/14/10 > Green city housing project<br/> Borrower added on 01/23/10 > I mistyped in the application. $1400 is the current rent we pay. <br/><br/>My employer is Emerson, and my role is marketing and biz dev director. Been with them for 3 years now. My 2009 annual compensation was ~160K. <br/><br/>I have zero credit card debt or car loans. Purpose of the loan is to buy real estate in my home town in India. It costs ~$140K. Rather than taking a mortgage there, I want to buy the property outright. I used $125K from my savings, and I am short $15K. The name of the building community is Green City - www.vplprojects.com.<br/>
3rd row
4th row Borrower added on 11/10/11 > Consolidate all debt. On Job 27 years. Loan payment is less than 7%<br>of monthly income.<br>
5th row Borrower added on 06/29/11 > thanks for the help.<br/>

Common Values

ValueCountFrequency (%)
135
 
0.5%
Debt Consolidation4
 
< 0.1%
refinancing2
 
< 0.1%
credit card debt consolidation2
 
< 0.1%
debt consolidation2
 
< 0.1%
Borrower added on 09/21/11 > Debt consolidation<br/>2
 
< 0.1%
Camping Membership2
 
< 0.1%
Motorcycle Loan2
 
< 0.1%
I have 2nd mortgage on a rental property with balance of $109k. I have cash flow of $85k and plan to pay off the 2nd mortgage using this loan to make up for rest of the balance. You will see a 2nd mortgage debt on my credit around $965.00 which will go away once this loan is approved as I will be paying it off. The interest rate needs to be below 9% since I can use my credit card to borrow same money for 10%.2
 
< 0.1%
Personal loan2
 
< 0.1%
Other values (16651)16652
66.6%
(Missing)8192
32.8%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
i49098
 
3.8%
to44997
 
3.5%
a34523
 
2.7%
the34233
 
2.6%
and34201
 
2.6%
my32571
 
2.5%
on30685
 
2.4%
23195
 
1.8%
for20766
 
1.6%
have20552
 
1.6%
Other values (39405)967193
74.9%

Most occurring characters

ValueCountFrequency (%)
1334899
18.6%
e599750
 
8.3%
a450037
 
6.3%
o446547
 
6.2%
t409799
 
5.7%
n385304
 
5.4%
r370053
 
5.2%
i312061
 
4.3%
s267670
 
3.7%
d250709
 
3.5%
Other values (129)2357172
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5124065
71.3%
Space Separator1334940
 
18.6%
Decimal Number216787
 
3.0%
Other Punctuation204469
 
2.8%
Uppercase Letter186131
 
2.6%
Math Symbol88051
 
1.2%
Currency Symbol10454
 
0.1%
Dash Punctuation8460
 
0.1%
Close Punctuation4658
 
0.1%
Open Punctuation4253
 
0.1%
Other values (7)1733
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I59562
32.0%
B21669
 
11.6%
T17603
 
9.5%
A9391
 
5.0%
M8824
 
4.7%
C8772
 
4.7%
S5632
 
3.0%
W5415
 
2.9%
L5372
 
2.9%
E5348
 
2.9%
Other values (21)38543
20.7%
Lowercase Letter
ValueCountFrequency (%)
e599750
11.7%
a450037
 
8.8%
o446547
 
8.7%
t409799
 
8.0%
n385304
 
7.5%
r370053
 
7.2%
i312061
 
6.1%
s267670
 
5.2%
d250709
 
4.9%
l224257
 
4.4%
Other values (17)1407878
27.5%
Other Punctuation
ValueCountFrequency (%)
.75646
37.0%
/72751
35.6%
,31154
15.2%
'8354
 
4.1%
!4335
 
2.1%
%3542
 
1.7%
:3351
 
1.6%
;2124
 
1.0%
&1658
 
0.8%
"504
 
0.2%
Other values (10)1050
 
0.5%
Control
ValueCountFrequency (%)
770
54.3%
€321
22.6%
™147
 
10.4%
‚31
 
2.2%
“29
 
2.0%
’25
 
1.8%
ƒ25
 
1.8%
21
 
1.5%
œ18
 
1.3%
š13
 
0.9%
Other values (7)19
 
1.3%
Decimal Number
ValueCountFrequency (%)
064982
30.0%
161121
28.2%
222870
 
10.5%
513545
 
6.2%
311240
 
5.2%
910266
 
4.7%
48440
 
3.9%
68144
 
3.8%
78103
 
3.7%
88076
 
3.7%
Math Symbol
ValueCountFrequency (%)
>53089
60.3%
<33726
38.3%
+638
 
0.7%
=371
 
0.4%
~197
 
0.2%
¬25
 
< 0.1%
|5
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
¦95
88.8%
©9
 
8.4%
®2
 
1.9%
1
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
-8447
99.8%
9
 
0.1%
4
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
)4636
99.5%
]19
 
0.4%
}3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
(4233
99.5%
[18
 
0.4%
{2
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
`8
66.7%
^3
 
25.0%
¯1
 
8.3%
Space Separator
ValueCountFrequency (%)
1334899
> 99.9%
 41
 
< 0.1%
Currency Symbol
ValueCountFrequency (%)
$10408
99.6%
¢46
 
0.4%
Final Punctuation
ValueCountFrequency (%)
53
84.1%
10
 
15.9%
Initial Punctuation
ValueCountFrequency (%)
10
90.9%
1
 
9.1%
Other Number
ValueCountFrequency (%)
½5
71.4%
¾2
 
28.6%
Connector Punctuation
ValueCountFrequency (%)
_114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin5310196
73.9%
Common1873805
 
26.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1334899
71.2%
.75646
 
4.0%
/72751
 
3.9%
064982
 
3.5%
161121
 
3.3%
>53089
 
2.8%
<33726
 
1.8%
,31154
 
1.7%
222870
 
1.2%
513545
 
0.7%
Other values (71)110022
 
5.9%
Latin
ValueCountFrequency (%)
e599750
 
11.3%
a450037
 
8.5%
o446547
 
8.4%
t409799
 
7.7%
n385304
 
7.3%
r370053
 
7.0%
i312061
 
5.9%
s267670
 
5.0%
d250709
 
4.7%
l224257
 
4.2%
Other values (48)1594009
30.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII7182483
> 99.9%
None1414
 
< 0.1%
Punctuation103
 
< 0.1%
Specials1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1334899
18.6%
e599750
 
8.4%
a450037
 
6.3%
o446547
 
6.2%
t409799
 
5.7%
n385304
 
5.4%
r370053
 
5.2%
i312061
 
4.3%
s267670
 
3.7%
d250709
 
3.5%
Other values (86)2355654
32.8%
None
ValueCountFrequency (%)
â342
24.2%
€321
22.7%
™147
10.4%
¦95
 
6.7%
Â87
 
6.2%
Ã81
 
5.7%
¢46
 
3.3%
 41
 
2.9%
‚31
 
2.2%
“29
 
2.1%
Other values (24)194
13.7%
Punctuation
ValueCountFrequency (%)
53
51.5%
10
 
9.7%
10
 
9.7%
9
 
8.7%
8
 
7.8%
8
 
7.8%
4
 
3.9%
1
 
1.0%
Specials
ValueCountFrequency (%)
1
100.0%

purpose
Categorical

HIGH CORRELATION

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
debt_consolidation
11932 
credit_card
3246 
other
2475 
home_improvement
1883 
major_purchase
1370 
Other values (9)
4093 

Length

Max length18
Median length16
Mean length13.78079123
Min length3

Characters and Unicode

Total characters344506
Distinct characters22
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhome_improvement
2nd rowother
3rd rowmajor_purchase
4th rowdebt_consolidation
5th rowdebt_consolidation

Common Values

ValueCountFrequency (%)
debt_consolidation11932
47.7%
credit_card3246
 
13.0%
other2475
 
9.9%
home_improvement1883
 
7.5%
major_purchase1370
 
5.5%
car992
 
4.0%
small_business975
 
3.9%
wedding613
 
2.5%
medical434
 
1.7%
moving346
 
1.4%
Other values (4)733
 
2.9%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
debt_consolidation11932
47.7%
credit_card3246
 
13.0%
other2475
 
9.9%
home_improvement1883
 
7.5%
major_purchase1370
 
5.5%
car992
 
4.0%
small_business975
 
3.9%
wedding613
 
2.5%
medical434
 
1.7%
moving346
 
1.4%
Other values (4)733
 
2.9%

Most occurring characters

ValueCountFrequency (%)
o44425
12.9%
d32227
9.4%
t31915
9.3%
i31808
9.2%
n28250
8.2%
e27435
 
8.0%
c21667
 
6.3%
a21274
 
6.2%
_19467
 
5.7%
s17427
 
5.1%
Other values (12)68611
19.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter325039
94.3%
Connector Punctuation19467
 
5.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o44425
13.7%
d32227
9.9%
t31915
9.8%
i31808
9.8%
n28250
8.7%
e27435
8.4%
c21667
6.7%
a21274
 
6.5%
s17427
 
5.4%
r14704
 
4.5%
Other values (11)53907
16.6%
Connector Punctuation
ValueCountFrequency (%)
_19467
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin325039
94.3%
Common19467
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
o44425
13.7%
d32227
9.9%
t31915
9.8%
i31808
9.8%
n28250
8.7%
e27435
8.4%
c21667
6.7%
a21274
 
6.5%
s17427
 
5.4%
r14704
 
4.5%
Other values (11)53907
16.6%
Common
ValueCountFrequency (%)
_19467
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII344506
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o44425
12.9%
d32227
9.4%
t31915
9.3%
i31808
9.2%
n28250
8.2%
e27435
 
8.0%
c21667
 
6.3%
a21274
 
6.2%
_19467
 
5.7%
s17427
 
5.1%
Other values (12)68611
19.9%

title
Categorical

HIGH CARDINALITY

Distinct12893
Distinct (%)51.6%
Missing8
Missing (%)< 0.1%
Memory size195.4 KiB
Debt Consolidation
 
1407
Debt Consolidation Loan
 
1092
Personal Loan
 
439
Consolidation
 
345
debt consolidation
 
314
Other values (12888)
21394 

Length

Max length80
Median length16
Mean length17.24488816
Min length1

Characters and Unicode

Total characters430967
Distinct characters100
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11604 ?
Unique (%)46.4%

Sample

1st rowhomeimproement
2nd rowGreen City
3rd rowpayoff w/in 2 years
4th rowLoan I
5th rowsave %

Common Values

ValueCountFrequency (%)
Debt Consolidation1407
 
5.6%
Debt Consolidation Loan1092
 
4.4%
Personal Loan439
 
1.8%
Consolidation345
 
1.4%
debt consolidation314
 
1.3%
Home Improvement233
 
0.9%
Debt consolidation227
 
0.9%
Credit Card Consolidation223
 
0.9%
Credit Card Loan196
 
0.8%
Personal192
 
0.8%
Other values (12883)20323
81.3%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
loan6903
 
10.5%
debt5906
 
9.0%
consolidation5550
 
8.4%
credit2958
 
4.5%
card2145
 
3.3%
personal1352
 
2.1%
home1194
 
1.8%
pay864
 
1.3%
off811
 
1.2%
my732
 
1.1%
Other values (6455)37509
56.9%

Most occurring characters

ValueCountFrequency (%)
o41839
 
9.7%
41691
 
9.7%
n35314
 
8.2%
e34200
 
7.9%
a31873
 
7.4%
i27832
 
6.5%
t26951
 
6.3%
d19611
 
4.6%
r18341
 
4.3%
s17814
 
4.1%
Other values (90)135501
31.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter329371
76.4%
Uppercase Letter52216
 
12.1%
Space Separator41691
 
9.7%
Decimal Number3959
 
0.9%
Other Punctuation2840
 
0.7%
Dash Punctuation508
 
0.1%
Connector Punctuation128
 
< 0.1%
Close Punctuation66
 
< 0.1%
Currency Symbol64
 
< 0.1%
Math Symbol58
 
< 0.1%
Other values (5)66
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o41839
12.7%
n35314
10.7%
e34200
10.4%
a31873
9.7%
i27832
8.5%
t26951
8.2%
d19611
 
6.0%
r18341
 
5.6%
s17814
 
5.4%
l16575
 
5.0%
Other values (17)59021
17.9%
Uppercase Letter
ValueCountFrequency (%)
C11801
22.6%
L6522
12.5%
D5873
11.2%
P3583
 
6.9%
R2389
 
4.6%
M1965
 
3.8%
S1918
 
3.7%
B1885
 
3.6%
E1798
 
3.4%
I1790
 
3.4%
Other values (17)12692
24.3%
Other Punctuation
ValueCountFrequency (%)
!710
25.0%
'638
22.5%
.450
15.8%
/359
12.6%
,273
 
9.6%
&204
 
7.2%
%56
 
2.0%
:38
 
1.3%
"35
 
1.2%
*22
 
0.8%
Other values (5)55
 
1.9%
Decimal Number
ValueCountFrequency (%)
11130
28.5%
01112
28.1%
2713
18.0%
3201
 
5.1%
5172
 
4.3%
9166
 
4.2%
4153
 
3.9%
6114
 
2.9%
8109
 
2.8%
789
 
2.2%
Math Symbol
ValueCountFrequency (%)
+30
51.7%
=12
 
20.7%
<9
 
15.5%
>6
 
10.3%
~1
 
1.7%
Control
ValueCountFrequency (%)
€4
44.4%
™2
22.2%
2
22.2%
–1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
)64
97.0%
]2
 
3.0%
Open Punctuation
ValueCountFrequency (%)
(50
96.2%
[2
 
3.8%
Modifier Symbol
ValueCountFrequency (%)
^1
50.0%
`1
50.0%
Space Separator
ValueCountFrequency (%)
41691
100.0%
Dash Punctuation
ValueCountFrequency (%)
-508
100.0%
Connector Punctuation
ValueCountFrequency (%)
_128
100.0%
Currency Symbol
ValueCountFrequency (%)
$64
100.0%
Other Symbol
ValueCountFrequency (%)
¦2
100.0%
Other Number
ValueCountFrequency (%)
³1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin381587
88.5%
Common49380
 
11.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o41839
 
11.0%
n35314
 
9.3%
e34200
 
9.0%
a31873
 
8.4%
i27832
 
7.3%
t26951
 
7.1%
d19611
 
5.1%
r18341
 
4.8%
s17814
 
4.7%
l16575
 
4.3%
Other values (44)111237
29.2%
Common
ValueCountFrequency (%)
41691
84.4%
11130
 
2.3%
01112
 
2.3%
2713
 
1.4%
!710
 
1.4%
'638
 
1.3%
-508
 
1.0%
.450
 
0.9%
/359
 
0.7%
,273
 
0.6%
Other values (36)1796
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII430952
> 99.9%
None15
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o41839
 
9.7%
41691
 
9.7%
n35314
 
8.2%
e34200
 
7.9%
a31873
 
7.4%
i27832
 
6.5%
t26951
 
6.3%
d19611
 
4.6%
r18341
 
4.3%
s17814
 
4.1%
Other values (83)135486
31.4%
None
ValueCountFrequency (%)
â4
26.7%
€4
26.7%
™2
13.3%
¦2
13.3%
–1
 
6.7%
Ã1
 
6.7%
³1
 
6.7%

zip_code
Categorical

HIGH CARDINALITY

Distinct787
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
100xx
 
409
112xx
 
379
945xx
 
351
606xx
 
346
070xx
 
312
Other values (782)
23202 

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters124995
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)0.2%

Sample

1st row076xx
2nd row300xx
3rd row310xx
4th row488xx
5th row334xx

Common Values

ValueCountFrequency (%)
100xx409
 
1.6%
112xx379
 
1.5%
945xx351
 
1.4%
606xx346
 
1.4%
070xx312
 
1.2%
900xx294
 
1.2%
021xx262
 
1.0%
300xx254
 
1.0%
750xx252
 
1.0%
331xx249
 
1.0%
Other values (777)21891
87.6%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
100xx409
 
1.6%
112xx379
 
1.5%
945xx351
 
1.4%
606xx346
 
1.4%
070xx312
 
1.2%
900xx294
 
1.2%
021xx262
 
1.0%
300xx254
 
1.0%
750xx252
 
1.0%
331xx249
 
1.0%
Other values (777)21891
87.6%

Most occurring characters

ValueCountFrequency (%)
x49998
40.0%
012744
 
10.2%
110282
 
8.2%
28577
 
6.9%
37743
 
6.2%
97716
 
6.2%
76454
 
5.2%
45761
 
4.6%
55457
 
4.4%
85324
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number74997
60.0%
Lowercase Letter49998
40.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
012744
17.0%
110282
13.7%
28577
11.4%
37743
10.3%
97716
10.3%
76454
8.6%
45761
7.7%
55457
7.3%
85324
7.1%
64939
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
x49998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common74997
60.0%
Latin49998
40.0%

Most frequent character per script

Common
ValueCountFrequency (%)
012744
17.0%
110282
13.7%
28577
11.4%
37743
10.3%
97716
10.3%
76454
8.6%
45761
7.7%
55457
7.3%
85324
7.1%
64939
 
6.6%
Latin
ValueCountFrequency (%)
x49998
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII124995
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
x49998
40.0%
012744
 
10.2%
110282
 
8.2%
28577
 
6.9%
37743
 
6.2%
97716
 
6.2%
76454
 
5.2%
45761
 
4.6%
55457
 
4.4%
85324
 
4.3%

addr_state
Categorical

HIGH CORRELATION

Distinct50
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
CA
4414 
NY
2616 
FL
1801 
TX
1693 
NJ
 
1217
Other values (45)
13258 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters49998
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowNJ
2nd rowGA
3rd rowGA
4th rowMI
5th rowFL

Common Values

ValueCountFrequency (%)
CA4414
17.7%
NY2616
 
10.5%
FL1801
 
7.2%
TX1693
 
6.8%
NJ1217
 
4.9%
IL1040
 
4.2%
PA978
 
3.9%
GA862
 
3.4%
MA852
 
3.4%
VA848
 
3.4%
Other values (40)8678
34.7%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
ca4414
17.7%
ny2616
 
10.5%
fl1801
 
7.2%
tx1693
 
6.8%
nj1217
 
4.9%
il1040
 
4.2%
pa978
 
3.9%
ga862
 
3.4%
ma852
 
3.4%
va848
 
3.4%
Other values (40)8678
34.7%

Most occurring characters

ValueCountFrequency (%)
A9706
19.4%
C6247
12.5%
N5232
10.5%
L3382
 
6.8%
M2970
 
5.9%
Y2867
 
5.7%
T2357
 
4.7%
O2151
 
4.3%
I2030
 
4.1%
F1801
 
3.6%
Other values (14)11255
22.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter49998
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A9706
19.4%
C6247
12.5%
N5232
10.5%
L3382
 
6.8%
M2970
 
5.9%
Y2867
 
5.7%
T2357
 
4.7%
O2151
 
4.3%
I2030
 
4.1%
F1801
 
3.6%
Other values (14)11255
22.5%

Most occurring scripts

ValueCountFrequency (%)
Latin49998
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
A9706
19.4%
C6247
12.5%
N5232
10.5%
L3382
 
6.8%
M2970
 
5.9%
Y2867
 
5.7%
T2357
 
4.7%
O2151
 
4.3%
I2030
 
4.1%
F1801
 
3.6%
Other values (14)11255
22.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII49998
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A9706
19.4%
C6247
12.5%
N5232
10.5%
L3382
 
6.8%
M2970
 
5.9%
Y2867
 
5.7%
T2357
 
4.7%
O2151
 
4.3%
I2030
 
4.1%
F1801
 
3.6%
Other values (14)11255
22.5%

dti
Real number (ℝ≥0)

Distinct2779
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.33020961
Minimum0
Maximum29.99
Zeros115
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile2.18
Q18.22
median13.42
Q318.57
95-th percentile23.82
Maximum29.99
Range29.99
Interquartile range (IQR)10.35

Descriptive statistics

Standard deviation6.651601507
Coefficient of variation (CV)0.4989870154
Kurtosis-0.8462498933
Mean13.33020961
Median Absolute Deviation (MAD)5.17
Skewness-0.03000580225
Sum333241.91
Variance44.24380261
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0115
 
0.5%
1230
 
0.1%
12.4830
 
0.1%
1828
 
0.1%
9.627
 
0.1%
19.227
 
0.1%
17.0426
 
0.1%
12.1523
 
0.1%
10.6423
 
0.1%
13.523
 
0.1%
Other values (2769)24647
98.6%
ValueCountFrequency (%)
0115
0.5%
0.012
 
< 0.1%
0.023
 
< 0.1%
0.043
 
< 0.1%
0.051
 
< 0.1%
0.072
 
< 0.1%
0.082
 
< 0.1%
0.093
 
< 0.1%
0.121
 
< 0.1%
0.136
 
< 0.1%
ValueCountFrequency (%)
29.991
< 0.1%
29.951
< 0.1%
29.931
< 0.1%
29.921
< 0.1%
29.861
< 0.1%
29.851
< 0.1%
29.821
< 0.1%
29.791
< 0.1%
29.781
< 0.1%
29.761
< 0.1%

delinq_2yrs
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1454058162
Minimum0
Maximum11
Zeros22317
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.494810652
Coefficient of variation (CV)3.402963271
Kurtosis45.48428249
Mean0.1454058162
Median Absolute Deviation (MAD)0
Skewness5.282407091
Sum3635
Variance0.2448375813
MonotonicityNot monotonic
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
022317
89.3%
12054
 
8.2%
2420
 
1.7%
3144
 
0.6%
439
 
0.2%
513
 
0.1%
74
 
< 0.1%
64
 
< 0.1%
82
 
< 0.1%
111
 
< 0.1%
ValueCountFrequency (%)
022317
89.3%
12054
 
8.2%
2420
 
1.7%
3144
 
0.6%
439
 
0.2%
513
 
0.1%
64
 
< 0.1%
74
 
< 0.1%
82
 
< 0.1%
91
 
< 0.1%
ValueCountFrequency (%)
111
 
< 0.1%
91
 
< 0.1%
82
 
< 0.1%
74
 
< 0.1%
64
 
< 0.1%
513
 
0.1%
439
 
0.2%
3144
 
0.6%
2420
 
1.7%
12054
8.2%

earliest_cr_line
Categorical

HIGH CARDINALITY

Distinct495
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
Nov-98
 
246
Oct-99
 
233
Dec-98
 
232
Oct-00
 
211
Nov-99
 
208
Other values (490)
23869 

Length

Max length6
Median length6
Mean length5.703868155
Min length5

Characters and Unicode

Total characters142591
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)0.2%

Sample

1st row1-Feb
2nd rowFeb-97
3rd rowMar-00
4th rowJun-99
5th row4-Jun

Common Values

ValueCountFrequency (%)
Nov-98246
 
1.0%
Oct-99233
 
0.9%
Dec-98232
 
0.9%
Oct-00211
 
0.8%
Nov-99208
 
0.8%
Dec-99207
 
0.8%
Nov-97207
 
0.8%
Nov-00203
 
0.8%
Dec-97200
 
0.8%
Sep-00199
 
0.8%
Other values (485)22853
91.4%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
nov-98246
 
1.0%
oct-99233
 
0.9%
dec-98232
 
0.9%
oct-00211
 
0.8%
nov-99208
 
0.8%
dec-99207
 
0.8%
nov-97207
 
0.8%
nov-00203
 
0.8%
dec-97200
 
0.8%
sep-00199
 
0.8%
Other values (485)22853
91.4%

Most occurring characters

ValueCountFrequency (%)
-24999
17.5%
914807
 
10.4%
e6632
 
4.7%
J5870
 
4.1%
u5847
 
4.1%
a5742
 
4.0%
85223
 
3.7%
c5121
 
3.6%
04924
 
3.5%
p3945
 
2.8%
Other values (23)59481
41.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter49998
35.1%
Decimal Number42595
29.9%
Dash Punctuation24999
17.5%
Uppercase Letter24999
17.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e6632
13.3%
u5847
11.7%
a5742
11.5%
c5121
10.2%
p3945
7.9%
n3930
7.9%
r3444
6.9%
t2565
 
5.1%
v2525
 
5.1%
o2525
 
5.1%
Other values (4)7722
15.4%
Decimal Number
ValueCountFrequency (%)
914807
34.8%
85223
 
12.3%
04924
 
11.6%
72985
 
7.0%
42690
 
6.3%
52597
 
6.1%
62544
 
6.0%
12390
 
5.6%
32351
 
5.5%
22084
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
J5870
23.5%
A3809
15.2%
M3598
14.4%
O2565
10.3%
D2556
10.2%
N2525
10.1%
S2257
 
9.0%
F1819
 
7.3%
Dash Punctuation
ValueCountFrequency (%)
-24999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin74997
52.6%
Common67594
47.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e6632
 
8.8%
J5870
 
7.8%
u5847
 
7.8%
a5742
 
7.7%
c5121
 
6.8%
p3945
 
5.3%
n3930
 
5.2%
A3809
 
5.1%
M3598
 
4.8%
r3444
 
4.6%
Other values (12)27059
36.1%
Common
ValueCountFrequency (%)
-24999
37.0%
914807
21.9%
85223
 
7.7%
04924
 
7.3%
72985
 
4.4%
42690
 
4.0%
52597
 
3.8%
62544
 
3.8%
12390
 
3.5%
32351
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII142591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
-24999
17.5%
914807
 
10.4%
e6632
 
4.7%
J5870
 
4.1%
u5847
 
4.1%
a5742
 
4.0%
85223
 
3.7%
c5121
 
3.6%
04924
 
3.5%
p3945
 
2.8%
Other values (23)59481
41.7%

inq_last_6mths
Real number (ℝ≥0)

ZEROS

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8686347454
Minimum0
Maximum8
Zeros12185
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.070605229
Coefficient of variation (CV)1.232514857
Kurtosis2.586075043
Mean0.8686347454
Median Absolute Deviation (MAD)1
Skewness1.388853666
Sum21715
Variance1.146195556
MonotonicityNot monotonic
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
012185
48.7%
16830
27.3%
23709
 
14.8%
31904
 
7.6%
4214
 
0.9%
587
 
0.3%
637
 
0.1%
722
 
0.1%
811
 
< 0.1%
ValueCountFrequency (%)
012185
48.7%
16830
27.3%
23709
 
14.8%
31904
 
7.6%
4214
 
0.9%
587
 
0.3%
637
 
0.1%
722
 
0.1%
811
 
< 0.1%
ValueCountFrequency (%)
811
 
< 0.1%
722
 
0.1%
637
 
0.1%
587
 
0.3%
4214
 
0.9%
31904
 
7.6%
23709
 
14.8%
16830
27.3%
012185
48.7%

mths_since_last_delinq
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct91
Distinct (%)1.0%
Missing16240
Missing (%)65.0%
Infinite0
Infinite (%)0.0%
Mean35.90980706
Minimum0
Maximum120
Zeros260
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile3
Q118
median34
Q352
95-th percentile75
Maximum120
Range120
Interquartile range (IQR)34

Descriptive statistics

Standard deviation21.94852379
Coefficient of variation (CV)0.6112125236
Kurtosis-0.8194621947
Mean35.90980706
Median Absolute Deviation (MAD)16
Skewness0.3153063033
Sum314534
Variance481.7376967
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0260
 
1.0%
15160
 
0.6%
35157
 
0.6%
23154
 
0.6%
24154
 
0.6%
20153
 
0.6%
30153
 
0.6%
26151
 
0.6%
45149
 
0.6%
38146
 
0.6%
Other values (81)7122
28.5%
(Missing)16240
65.0%
ValueCountFrequency (%)
0260
1.0%
121
 
0.1%
271
 
0.3%
391
 
0.4%
494
 
0.4%
586
 
0.3%
6115
0.5%
7110
0.4%
8106
0.4%
9112
0.4%
ValueCountFrequency (%)
1201
 
< 0.1%
1151
 
< 0.1%
1031
 
< 0.1%
961
 
< 0.1%
951
 
< 0.1%
862
 
< 0.1%
851
 
< 0.1%
834
 
< 0.1%
8232
0.1%
8159
0.2%

mths_since_last_record
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct104
Distinct (%)6.2%
Missing23320
Missing (%)93.3%
Infinite0
Infinite (%)0.0%
Mean69.73079214
Minimum0
Maximum129
Zeros404
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile0
Q121
median90
Q3104
95-th percentile115
Maximum129
Range129
Interquartile range (IQR)83

Descriptive statistics

Standard deviation43.73019946
Coefficient of variation (CV)0.6271289643
Kurtosis-1.142541955
Mean69.73079214
Median Absolute Deviation (MAD)20
Skewness-0.7269989059
Sum117078
Variance1912.330344
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0404
 
1.6%
10442
 
0.2%
9440
 
0.2%
11340
 
0.2%
11035
 
0.1%
9935
 
0.1%
9335
 
0.1%
10834
 
0.1%
8734
 
0.1%
8934
 
0.1%
Other values (94)946
 
3.8%
(Missing)23320
93.3%
ValueCountFrequency (%)
0404
1.6%
61
 
< 0.1%
111
 
< 0.1%
121
 
< 0.1%
132
 
< 0.1%
141
 
< 0.1%
172
 
< 0.1%
182
 
< 0.1%
217
 
< 0.1%
221
 
< 0.1%
ValueCountFrequency (%)
1291
 
< 0.1%
1195
 
< 0.1%
11821
0.1%
11731
0.1%
11622
0.1%
11522
0.1%
11426
0.1%
11340
0.2%
11221
0.1%
11129
0.1%

open_acc
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct38
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.360734429
Minimum2
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum2
5-th percentile4
Q16
median9
Q312
95-th percentile18
Maximum44
Range42
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.394020991
Coefficient of variation (CV)0.469409855
Kurtosis1.722384147
Mean9.360734429
Median Absolute Deviation (MAD)3
Skewness1.008470991
Sum234009
Variance19.30742047
MonotonicityNot monotonic
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
72561
10.2%
82478
9.9%
62449
9.8%
92385
9.5%
102054
 
8.2%
51985
 
7.9%
111724
 
6.9%
121453
 
5.8%
41401
 
5.6%
131227
 
4.9%
Other values (28)5282
21.1%
ValueCountFrequency (%)
2350
 
1.4%
3890
 
3.6%
41401
5.6%
51985
7.9%
62449
9.8%
72561
10.2%
82478
9.9%
92385
9.5%
102054
8.2%
111724
6.9%
ValueCountFrequency (%)
441
 
< 0.1%
411
 
< 0.1%
391
 
< 0.1%
381
 
< 0.1%
361
 
< 0.1%
345
< 0.1%
332
 
< 0.1%
322
 
< 0.1%
315
< 0.1%
308
< 0.1%

pub_rec
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
0
23724 
1
 
1235
2
 
34
3
 
4
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters24999
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row2
5th row1

Common Values

ValueCountFrequency (%)
023724
94.9%
11235
 
4.9%
234
 
0.1%
34
 
< 0.1%
42
 
< 0.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
023724
94.9%
11235
 
4.9%
234
 
0.1%
34
 
< 0.1%
42
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
023724
94.9%
11235
 
4.9%
234
 
0.1%
34
 
< 0.1%
42
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number24999
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
023724
94.9%
11235
 
4.9%
234
 
0.1%
34
 
< 0.1%
42
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common24999
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
023724
94.9%
11235
 
4.9%
234
 
0.1%
34
 
< 0.1%
42
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII24999
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
023724
94.9%
11235
 
4.9%
234
 
0.1%
34
 
< 0.1%
42
 
< 0.1%

revol_bal
Real number (ℝ≥0)

ZEROS

Distinct16468
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13505.54998
Minimum0
Maximum149588
Zeros621
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile353
Q13838.5
median8992
Q317249.5
95-th percentile41957.7
Maximum149588
Range149588
Interquartile range (IQR)13411

Descriptive statistics

Standard deviation15832.4205
Coefficient of variation (CV)1.172289949
Kurtosis14.43225533
Mean13505.54998
Median Absolute Deviation (MAD)6062
Skewness3.13909295
Sum337625244
Variance250665538.8
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0621
 
2.5%
19
 
< 0.1%
238
 
< 0.1%
7988
 
< 0.1%
4827
 
< 0.1%
527
 
< 0.1%
4527
 
< 0.1%
397
 
< 0.1%
28346
 
< 0.1%
18366
 
< 0.1%
Other values (16458)24313
97.3%
ValueCountFrequency (%)
0621
2.5%
19
 
< 0.1%
23
 
< 0.1%
34
 
< 0.1%
43
 
< 0.1%
56
 
< 0.1%
64
 
< 0.1%
71
 
< 0.1%
83
 
< 0.1%
93
 
< 0.1%
ValueCountFrequency (%)
1495881
< 0.1%
1488041
< 0.1%
1478971
< 0.1%
1477501
< 0.1%
1475591
< 0.1%
1474511
< 0.1%
1464721
< 0.1%
1457111
< 0.1%
1455181
< 0.1%
1453841
< 0.1%

revol_util
Categorical

HIGH CARDINALITY

Distinct1059
Distinct (%)4.2%
Missing29
Missing (%)0.1%
Memory size195.4 KiB
0%
 
606
63%
 
44
66.60%
 
43
0.20%
 
43
27.20%
 
41
Other values (1054)
24193 

Length

Max length6
Median length6
Mean length5.528994794
Min length2

Characters and Unicode

Total characters138059
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)0.2%

Sample

1st row1.20%
2nd row14%
3rd row34.40%
4th row91.40%
5th row9.40%

Common Values

ValueCountFrequency (%)
0%606
 
2.4%
63%44
 
0.2%
66.60%43
 
0.2%
0.20%43
 
0.2%
27.20%41
 
0.2%
48.90%40
 
0.2%
46.40%40
 
0.2%
57.70%40
 
0.2%
68.70%39
 
0.2%
70.40%39
 
0.2%
Other values (1049)23995
96.0%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
0606
 
2.4%
6344
 
0.2%
66.6043
 
0.2%
0.2043
 
0.2%
27.2041
 
0.2%
48.9040
 
0.2%
46.4040
 
0.2%
57.7040
 
0.2%
68.7039
 
0.2%
70.4039
 
0.2%
Other values (1049)23995
96.1%

Most occurring characters

ValueCountFrequency (%)
025000
18.1%
%24970
18.1%
.21956
15.9%
47685
 
5.6%
77607
 
5.5%
57589
 
5.5%
67575
 
5.5%
37515
 
5.4%
27244
 
5.2%
87217
 
5.2%
Other values (2)13701
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number91133
66.0%
Other Punctuation46926
34.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
025000
27.4%
47685
 
8.4%
77607
 
8.3%
57589
 
8.3%
67575
 
8.3%
37515
 
8.2%
27244
 
7.9%
87217
 
7.9%
96871
 
7.5%
16830
 
7.5%
Other Punctuation
ValueCountFrequency (%)
%24970
53.2%
.21956
46.8%

Most occurring scripts

ValueCountFrequency (%)
Common138059
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
025000
18.1%
%24970
18.1%
.21956
15.9%
47685
 
5.6%
77607
 
5.5%
57589
 
5.5%
67575
 
5.5%
37515
 
5.4%
27244
 
5.2%
87217
 
5.2%
Other values (2)13701
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII138059
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
025000
18.1%
%24970
18.1%
.21956
15.9%
47685
 
5.6%
77607
 
5.5%
57589
 
5.5%
67575
 
5.5%
37515
 
5.4%
27244
 
5.2%
87217
 
5.2%
Other values (2)13701
9.9%

total_acc
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct73
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.17144686
Minimum2
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum2
5-th percentile7
Q114
median21
Q329
95-th percentile43
Maximum79
Range77
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.34068852
Coefficient of variation (CV)0.5114997046
Kurtosis0.6481687668
Mean22.17144686
Median Absolute Deviation (MAD)8
Skewness0.8182628719
Sum554264
Variance128.611216
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16956
 
3.8%
17934
 
3.7%
15923
 
3.7%
14921
 
3.7%
20902
 
3.6%
18899
 
3.6%
21881
 
3.5%
13862
 
3.4%
22844
 
3.4%
12837
 
3.3%
Other values (63)16040
64.2%
ValueCountFrequency (%)
21
 
< 0.1%
396
 
0.4%
4255
 
1.0%
5335
1.3%
6415
1.7%
7518
2.1%
8619
2.5%
9681
2.7%
10712
2.8%
11767
3.1%
ValueCountFrequency (%)
792
< 0.1%
781
 
< 0.1%
752
< 0.1%
731
 
< 0.1%
721
 
< 0.1%
701
 
< 0.1%
691
 
< 0.1%
674
< 0.1%
664
< 0.1%
652
< 0.1%

initial_list_status
Boolean

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size24.5 KiB
False
24999 
ValueCountFrequency (%)
False24999
100.0%

out_prncp
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct697
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.71904516
Minimum0
Maximum6311.47
Zeros24301
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6311.47
Range6311.47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation366.3814935
Coefficient of variation (CV)7.520292983
Kurtosis108.0779983
Mean48.71904516
Median Absolute Deviation (MAD)0
Skewness9.642925645
Sum1217927.41
Variance134235.3988
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024301
97.2%
1972.62
 
< 0.1%
2277.112
 
< 0.1%
233.691
 
< 0.1%
456.161
 
< 0.1%
3106.491
 
< 0.1%
648.561
 
< 0.1%
2833.431
 
< 0.1%
2432.351
 
< 0.1%
1023.31
 
< 0.1%
Other values (687)687
 
2.7%
ValueCountFrequency (%)
024301
97.2%
10.261
 
< 0.1%
13.281
 
< 0.1%
19.121
 
< 0.1%
27.411
 
< 0.1%
40.651
 
< 0.1%
50.461
 
< 0.1%
531
 
< 0.1%
57.671
 
< 0.1%
71.091
 
< 0.1%
ValueCountFrequency (%)
6311.471
< 0.1%
6307.371
< 0.1%
6307.151
< 0.1%
6219.161
< 0.1%
6219.111
< 0.1%
6182.861
< 0.1%
6071.681
< 0.1%
6034.371
< 0.1%
6027.71
< 0.1%
5945.891
< 0.1%

out_prncp_inv
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct698
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.49969879
Minimum0
Maximum6307.37
Zeros24301
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6307.37
Range6307.37
Interquartile range (IQR)0

Descriptive statistics

Standard deviation365.1731786
Coefficient of variation (CV)7.529390651
Kurtosis108.4974757
Mean48.49969879
Median Absolute Deviation (MAD)0
Skewness9.660626381
Sum1212443.97
Variance133351.4504
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
024301
97.2%
1972.62
 
< 0.1%
952.951
 
< 0.1%
2110.731
 
< 0.1%
2535.551
 
< 0.1%
4602.591
 
< 0.1%
848.071
 
< 0.1%
3736.071
 
< 0.1%
1074.41
 
< 0.1%
5490.961
 
< 0.1%
Other values (688)688
 
2.8%
ValueCountFrequency (%)
024301
97.2%
10.261
 
< 0.1%
13.281
 
< 0.1%
19.091
 
< 0.1%
27.411
 
< 0.1%
40.651
 
< 0.1%
50.461
 
< 0.1%
531
 
< 0.1%
57.671
 
< 0.1%
71.051
 
< 0.1%
ValueCountFrequency (%)
6307.371
< 0.1%
6306.961
< 0.1%
6298.111
< 0.1%
6219.161
< 0.1%
6183.551
< 0.1%
6182.861
< 0.1%
6067.331
< 0.1%
6034.371
< 0.1%
6027.71
< 0.1%
5933.041
< 0.1%

total_pymnt
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct24098
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12232.98608
Minimum0
Maximum58480.13992
Zeros8
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile1969.932888
Q15649.601459
median10086.6
Q316568.9754
95-th percentile30211.12113
Maximum58480.13992
Range58480.13992
Interquartile range (IQR)10919.37394

Descriptive statistics

Standard deviation8988.113395
Coefficient of variation (CV)0.7347440221
Kurtosis2.006942718
Mean12232.98608
Median Absolute Deviation (MAD)5032.58272
Skewness1.334716695
Sum305812419
Variance80786182.39
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11196.5694319
 
0.1%
13263.9546410
 
< 0.1%
13435.9002110
 
< 0.1%
10956.775969
 
< 0.1%
13148.137869
 
< 0.1%
5478.3879819
 
< 0.1%
08
 
< 0.1%
5557.0255438
 
< 0.1%
11114.090337
 
< 0.1%
5598.2847137
 
< 0.1%
Other values (24088)24903
99.6%
ValueCountFrequency (%)
08
< 0.1%
33.731
 
< 0.1%
44.921
 
< 0.1%
44.961
 
< 0.1%
66.771
 
< 0.1%
67.321
 
< 0.1%
69.641
 
< 0.1%
69.771
 
< 0.1%
76.331
 
< 0.1%
78.931
 
< 0.1%
ValueCountFrequency (%)
58480.139921
< 0.1%
56849.269861
< 0.1%
56199.439951
< 0.1%
55906.94991
< 0.1%
55768.779951
< 0.1%
54774.419921
< 0.1%
54714.75991
< 0.1%
54132.398081
< 0.1%
54111.739951
< 0.1%
54005.479961
< 0.1%

total_pymnt_inv
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct23961
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11641.75597
Minimum0
Maximum58438.37
Zeros109
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile1497.079
Q15231.965
median9453.53
Q315850.81
95-th percentile29556.622
Maximum58438.37
Range58438.37
Interquartile range (IQR)10618.845

Descriptive statistics

Standard deviation8879.737938
Coefficient of variation (CV)0.7627490183
Kurtosis2.052566972
Mean11641.75597
Median Absolute Deviation (MAD)4941.15
Skewness1.348244225
Sum291032257.5
Variance78849745.85
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0109
 
0.4%
6717.9511
 
< 0.1%
11196.5710
 
< 0.1%
6514.5210
 
< 0.1%
13148.148
 
< 0.1%
5478.398
 
< 0.1%
7173.248
 
< 0.1%
10956.788
 
< 0.1%
14141.077
 
< 0.1%
13263.957
 
< 0.1%
Other values (23951)24813
99.3%
ValueCountFrequency (%)
0109
0.4%
12.651
 
< 0.1%
21.61
 
< 0.1%
25.181
 
< 0.1%
26.191
 
< 0.1%
33.731
 
< 0.1%
40.041
 
< 0.1%
44.921
 
< 0.1%
44.961
 
< 0.1%
53.951
 
< 0.1%
ValueCountFrequency (%)
58438.371
< 0.1%
56515.161
< 0.1%
55867.021
< 0.1%
55579.281
< 0.1%
54675.681
< 0.1%
53954.41
< 0.1%
53928.331
< 0.1%
53118.311
< 0.1%
53018.621
< 0.1%
52880.721
< 0.1%

total_rec_prncp
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5238
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9853.803259
Minimum0
Maximum35000.01
Zeros48
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile1400
Q14800
median8002.29
Q313750
95-th percentile24999.98
Maximum35000.01
Range35000.01
Interquartile range (IQR)8950

Descriptive statistics

Standard deviation7022.604905
Coefficient of variation (CV)0.7126796345
Kurtosis1.102268145
Mean9853.803259
Median Absolute Deviation (MAD)4002.29
Skewness1.109015608
Sum246335227.7
Variance49316979.65
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100001461
 
5.8%
120001177
 
4.7%
60001057
 
4.2%
50001051
 
4.2%
15000878
 
3.5%
8000798
 
3.2%
20000672
 
2.7%
4000582
 
2.3%
3000553
 
2.2%
7000538
 
2.2%
Other values (5228)16232
64.9%
ValueCountFrequency (%)
048
0.2%
21.931
 
< 0.1%
22.51
 
< 0.1%
24.871
 
< 0.1%
30.321
 
< 0.1%
34.51
 
< 0.1%
35.141
 
< 0.1%
35.81
 
< 0.1%
38.231
 
< 0.1%
40.231
 
< 0.1%
ValueCountFrequency (%)
35000.011
 
< 0.1%
35000222
0.9%
34999.991
 
< 0.1%
34999.971
 
< 0.1%
348001
 
< 0.1%
345251
 
< 0.1%
34475.011
 
< 0.1%
344752
 
< 0.1%
342501
 
< 0.1%
34185.871
 
< 0.1%

total_rec_int
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct22891
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2280.454298
Minimum0
Maximum23506.56
Zeros45
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile191.838
Q1679.97
median1379.95
Q32855.105
95-th percentile7549.792
Maximum23506.56
Range23506.56
Interquartile range (IQR)2175.135

Descriptive statistics

Standard deviation2596.955489
Coefficient of variation (CV)1.138788657
Kurtosis9.835374368
Mean2280.454298
Median Absolute Deviation (MAD)877.76
Skewness2.67084385
Sum57009077
Variance6744177.809
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
045
 
0.2%
1196.5719
 
0.1%
717.9513
 
0.1%
1148.1411
 
< 0.1%
1500.7910
 
< 0.1%
1435.910
 
< 0.1%
956.7810
 
< 0.1%
1263.9510
 
< 0.1%
514.5210
 
< 0.1%
478.399
 
< 0.1%
Other values (22881)24852
99.4%
ValueCountFrequency (%)
045
0.2%
6.221
 
< 0.1%
6.271
 
< 0.1%
7.22
 
< 0.1%
8.231
 
< 0.1%
9.581
 
< 0.1%
10.261
 
< 0.1%
11.171
 
< 0.1%
11.181
 
< 0.1%
11.231
 
< 0.1%
ValueCountFrequency (%)
23506.561
< 0.1%
23480.141
< 0.1%
22716.421
< 0.1%
22593.341
< 0.1%
22593.041
< 0.1%
22587.511
< 0.1%
22422.331
< 0.1%
22122.31
< 0.1%
21849.271
< 0.1%
21692.811
< 0.1%

total_rec_late_fee
Real number (ℝ≥0)

ZEROS

Distinct858
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.351414832
Minimum0
Maximum166.4297107
Zeros23744
Zeros (%)95.0%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.1805519756
Maximum166.4297107
Range166.4297107
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.380823208
Coefficient of variation (CV)5.461552613
Kurtosis100.9457524
Mean1.351414832
Median Absolute Deviation (MAD)0
Skewness8.534392604
Sum33784.01939
Variance54.47655122
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
023744
95.0%
15143
 
0.6%
15.0000000136
 
0.1%
3032
 
0.1%
15.0000000232
 
0.1%
14.9999999924
 
0.1%
15.0000000321
 
0.1%
14.9999999720
 
0.1%
14.9999999817
 
0.1%
15.0000000416
 
0.1%
Other values (848)914
 
3.7%
ValueCountFrequency (%)
023744
95.0%
0.011
 
< 0.1%
0.0607997511
 
< 0.1%
0.1017045621
 
< 0.1%
0.1399999991
 
< 0.1%
0.1800829041
 
< 0.1%
0.184773621
 
< 0.1%
0.271
 
< 0.1%
0.3020365531
 
< 0.1%
11
 
< 0.1%
ValueCountFrequency (%)
166.42971071
< 0.1%
165.691
< 0.1%
146.60000031
< 0.1%
146.041
< 0.1%
130.59703721
< 0.1%
127.78781361
< 0.1%
120.811
< 0.1%
119.99999981
< 0.1%
119.071
< 0.1%
116.10000011
< 0.1%

recoveries
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct2551
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.37718606
Minimum0
Maximum29623.35
Zeros22375
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile372.276
Maximum29623.35
Range29623.35
Interquartile range (IQR)0

Descriptive statistics

Standard deviation709.4297238
Coefficient of variation (CV)7.285379178
Kurtosis388.8142305
Mean97.37718606
Median Absolute Deviation (MAD)0
Skewness16.64731478
Sum2434332.274
Variance503290.533
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
022375
89.5%
10.073
 
< 0.1%
13.593
 
< 0.1%
24.062
 
< 0.1%
138.022
 
< 0.1%
220.232
 
< 0.1%
9.672
 
< 0.1%
9.772
 
< 0.1%
20.22
 
< 0.1%
139.622
 
< 0.1%
Other values (2541)2604
 
10.4%
ValueCountFrequency (%)
022375
89.5%
6.31
 
< 0.1%
8.191
 
< 0.1%
8.361
 
< 0.1%
8.461
 
< 0.1%
8.561
 
< 0.1%
8.881
 
< 0.1%
8.891
 
< 0.1%
9.091
 
< 0.1%
9.111
 
< 0.1%
ValueCountFrequency (%)
29623.351
< 0.1%
22943.371
< 0.1%
21810.311
< 0.1%
19508.261
< 0.1%
16268.351
< 0.1%
16066.021
< 0.1%
16008.021
< 0.1%
15914.931
< 0.1%
15236.311
< 0.1%
14906.811
< 0.1%

collection_recovery_fee
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED
ZEROS

Distinct1800
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.00908462
Minimum0
Maximum5602.72
Zeros22634
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.201
Maximum5602.72
Range5602.72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation137.8508511
Coefficient of variation (CV)11.47888082
Kurtosis690.5619
Mean12.00908462
Median Absolute Deviation (MAD)0
Skewness23.05081549
Sum300215.1063
Variance19002.85715
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
022634
90.5%
1.67
 
< 0.1%
0.87
 
< 0.1%
1.87
 
< 0.1%
2.026
 
< 0.1%
4.956
 
< 0.1%
3.716
 
< 0.1%
3.396
 
< 0.1%
4.735
 
< 0.1%
2.555
 
< 0.1%
Other values (1790)2310
 
9.2%
ValueCountFrequency (%)
022634
90.5%
0.0631
 
< 0.1%
0.1347999951
 
< 0.1%
0.13931
 
< 0.1%
0.19521
 
< 0.1%
0.2007000011
 
< 0.1%
0.231
 
< 0.1%
0.24621
 
< 0.1%
0.2516999991
 
< 0.1%
0.25431
 
< 0.1%
ValueCountFrequency (%)
5602.721
< 0.1%
5569.921
< 0.1%
5216.741
< 0.1%
4902.081
< 0.1%
4900.751
< 0.1%
4821.781
< 0.1%
4254.911
< 0.1%
3988.811
< 0.1%
3926.151
< 0.1%
3590.67951
< 0.1%

last_pymnt_d
Categorical

HIGH CARDINALITY

Distinct101
Distinct (%)0.4%
Missing45
Missing (%)0.2%
Memory size195.4 KiB
16-May
 
769
13-Mar
 
628
13-May
 
586
14-Dec
 
553
13-Feb
 
548
Other values (96)
21870 

Length

Max length6
Median length6
Mean length5.983088884
Min length5

Characters and Unicode

Total characters149302
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row11-Mar
2nd row10-Mar
3rd row11-Dec
4th row16-May
5th row15-Sep

Common Values

ValueCountFrequency (%)
16-May769
 
3.1%
13-Mar628
 
2.5%
13-May586
 
2.3%
14-Dec553
 
2.2%
13-Feb548
 
2.2%
14-Jan543
 
2.2%
12-Aug543
 
2.2%
14-Jul534
 
2.1%
12-Mar531
 
2.1%
14-Mar529
 
2.1%
Other values (91)19190
76.8%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
16-may769
 
3.1%
13-mar628
 
2.5%
13-may586
 
2.3%
14-dec553
 
2.2%
13-feb548
 
2.2%
14-jan543
 
2.2%
12-aug543
 
2.2%
14-jul534
 
2.1%
12-mar531
 
2.1%
14-mar529
 
2.1%
Other values (91)19190
76.9%

Most occurring characters

ValueCountFrequency (%)
127685
18.5%
-24954
16.7%
a6982
 
4.7%
e6109
 
4.1%
u5983
 
4.0%
35940
 
4.0%
45836
 
3.9%
J5797
 
3.9%
25607
 
3.8%
M5065
 
3.4%
Other values (22)49344
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter49908
33.4%
Decimal Number49486
33.1%
Dash Punctuation24954
16.7%
Uppercase Letter24954
16.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a6982
14.0%
e6109
12.2%
u5983
12.0%
r4377
8.8%
c4241
8.5%
p3941
7.9%
n3763
7.5%
y2688
 
5.4%
g2103
 
4.2%
t2039
 
4.1%
Other values (4)7682
15.4%
Decimal Number
ValueCountFrequency (%)
127685
55.9%
35940
 
12.0%
45836
 
11.8%
25607
 
11.3%
51586
 
3.2%
61273
 
2.6%
01137
 
2.3%
9337
 
0.7%
885
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
J5797
23.2%
M5065
20.3%
A4103
16.4%
D2202
 
8.8%
O2039
 
8.2%
F1966
 
7.9%
S1941
 
7.8%
N1841
 
7.4%
Dash Punctuation
ValueCountFrequency (%)
-24954
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin74862
50.1%
Common74440
49.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a6982
 
9.3%
e6109
 
8.2%
u5983
 
8.0%
J5797
 
7.7%
M5065
 
6.8%
r4377
 
5.8%
c4241
 
5.7%
A4103
 
5.5%
p3941
 
5.3%
n3763
 
5.0%
Other values (12)24501
32.7%
Common
ValueCountFrequency (%)
127685
37.2%
-24954
33.5%
35940
 
8.0%
45836
 
7.8%
25607
 
7.5%
51586
 
2.1%
61273
 
1.7%
01137
 
1.5%
9337
 
0.5%
885
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII149302
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127685
18.5%
-24954
16.7%
a6982
 
4.7%
e6109
 
4.1%
u5983
 
4.0%
35940
 
4.0%
45836
 
3.9%
J5797
 
3.9%
25607
 
3.8%
M5065
 
3.4%
Other values (22)49344
33.0%

last_pymnt_amnt
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct22960
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2705.466391
Minimum0
Maximum36115.2
Zeros45
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size195.4 KiB

Quantile statistics

Minimum0
5-th percentile44.546
Q1224.125
median558.56
Q33356.205
95-th percentile12240.119
Maximum36115.2
Range36115.2
Interquartile range (IQR)3132.08

Descriptive statistics

Standard deviation4459.941282
Coefficient of variation (CV)1.648492584
Kurtosis8.83325053
Mean2705.466391
Median Absolute Deviation (MAD)461.63
Skewness2.700884258
Sum67633954.32
Variance19891076.24
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
045
 
0.2%
276.0612
 
< 0.1%
20011
 
< 0.1%
40010
 
< 0.1%
5010
 
< 0.1%
5009
 
< 0.1%
1009
 
< 0.1%
1508
 
< 0.1%
444.797
 
< 0.1%
324.427
 
< 0.1%
Other values (22950)24871
99.5%
ValueCountFrequency (%)
045
0.2%
0.011
 
< 0.1%
0.161
 
< 0.1%
0.241
 
< 0.1%
0.251
 
< 0.1%
0.281
 
< 0.1%
0.351
 
< 0.1%
0.362
 
< 0.1%
0.443
 
< 0.1%
0.511
 
< 0.1%
ValueCountFrequency (%)
36115.21
< 0.1%
35596.411
< 0.1%
35479.891
< 0.1%
35337.091
< 0.1%
35322.961
< 0.1%
35283.091
< 0.1%
35139.611
< 0.1%
34981.661
< 0.1%
34852.541
< 0.1%
34675.921
< 0.1%

next_pymnt_d
Categorical

HIGH CORRELATION
MISSING

Distinct2
Distinct (%)0.3%
Missing24301
Missing (%)97.2%
Memory size195.4 KiB
16-Jun
688 
16-Jul
 
10

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters4188
Distinct characters7
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row16-Jun
2nd row16-Jun
3rd row16-Jun
4th row16-Jun
5th row16-Jun

Common Values

ValueCountFrequency (%)
16-Jun688
 
2.8%
16-Jul10
 
< 0.1%
(Missing)24301
97.2%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
16-jun688
98.6%
16-jul10
 
1.4%

Most occurring characters

ValueCountFrequency (%)
u698
16.7%
J698
16.7%
-698
16.7%
6698
16.7%
1698
16.7%
n688
16.4%
l10
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1396
33.3%
Decimal Number1396
33.3%
Uppercase Letter698
16.7%
Dash Punctuation698
16.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
u698
50.0%
n688
49.3%
l10
 
0.7%
Decimal Number
ValueCountFrequency (%)
6698
50.0%
1698
50.0%
Uppercase Letter
ValueCountFrequency (%)
J698
100.0%
Dash Punctuation
ValueCountFrequency (%)
-698
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin2094
50.0%
Common2094
50.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
u698
33.3%
J698
33.3%
n688
32.9%
l10
 
0.5%
Common
ValueCountFrequency (%)
-698
33.3%
6698
33.3%
1698
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII4188
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
u698
16.7%
J698
16.7%
-698
16.7%
6698
16.7%
1698
16.7%
n688
16.4%
l10
 
0.2%

last_credit_pull_d
Categorical

HIGH CARDINALITY

Distinct102
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
16-May
6530 
16-Apr
1619 
16-Mar
 
723
13-Feb
 
504
16-Feb
 
455
Other values (97)
15168 

Length

Max length6
Median length6
Mean length5.993039722
Min length5

Characters and Unicode

Total characters149820
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row11-Jul
2nd row10-Feb
3rd row11-Dec
4th row16-May
5th row16-May

Common Values

ValueCountFrequency (%)
16-May6530
26.1%
16-Apr1619
 
6.5%
16-Mar723
 
2.9%
13-Feb504
 
2.0%
16-Feb455
 
1.8%
15-Dec418
 
1.7%
16-Jan412
 
1.6%
15-Sep361
 
1.4%
13-Mar353
 
1.4%
14-Mar351
 
1.4%
Other values (92)13273
53.1%

Length

Histogram of lengths of the category
ValueCountFrequency (%)
16-may6530
26.1%
16-apr1619
 
6.5%
16-mar723
 
2.9%
13-feb504
 
2.0%
16-feb455
 
1.8%
15-dec418
 
1.7%
16-jan412
 
1.6%
15-sep361
 
1.4%
13-mar353
 
1.4%
14-mar351
 
1.4%
Other values (92)13273
53.1%

Most occurring characters

ValueCountFrequency (%)
126209
17.5%
-24999
16.7%
a11111
 
7.4%
M9808
 
6.5%
69739
 
6.5%
y7743
 
5.2%
r4823
 
3.2%
e4750
 
3.2%
p4111
 
2.7%
A4068
 
2.7%
Other values (23)42459
28.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter49998
33.4%
Decimal Number49824
33.3%
Dash Punctuation24999
16.7%
Uppercase Letter24999
16.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a11111
22.2%
y7743
15.5%
r4823
9.6%
e4750
9.5%
p4111
 
8.2%
u3660
 
7.3%
c2790
 
5.6%
n2377
 
4.8%
b1910
 
3.8%
o1417
 
2.8%
Other values (4)5306
10.6%
Decimal Number
ValueCountFrequency (%)
126209
52.6%
69739
 
19.5%
43863
 
7.8%
53596
 
7.2%
33206
 
6.4%
22514
 
5.0%
0523
 
1.0%
9136
 
0.3%
829
 
0.1%
79
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
M9808
39.2%
A4068
16.3%
J3653
 
14.6%
F1910
 
7.6%
D1487
 
5.9%
N1417
 
5.7%
S1353
 
5.4%
O1303
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
-24999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin74997
50.1%
Common74823
49.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a11111
14.8%
M9808
13.1%
y7743
10.3%
r4823
 
6.4%
e4750
 
6.3%
p4111
 
5.5%
A4068
 
5.4%
u3660
 
4.9%
J3653
 
4.9%
c2790
 
3.7%
Other values (12)18480
24.6%
Common
ValueCountFrequency (%)
126209
35.0%
-24999
33.4%
69739
 
13.0%
43863
 
5.2%
53596
 
4.8%
33206
 
4.3%
22514
 
3.4%
0523
 
0.7%
9136
 
0.2%
829
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII149820
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126209
17.5%
-24999
16.7%
a11111
 
7.4%
M9808
 
6.5%
69739
 
6.5%
y7743
 
5.2%
r4823
 
3.2%
e4750
 
3.2%
p4111
 
2.7%
A4068
 
2.7%
Other values (23)42459
28.3%

collections_12_mths_ex_med
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing29
Missing (%)0.1%
Memory size195.4 KiB
0.0
24970 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters74910
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.024970
99.9%
(Missing)29
 
0.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0.024970
100.0%

Most occurring characters

ValueCountFrequency (%)
049940
66.7%
.24970
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number49940
66.7%
Other Punctuation24970
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
049940
100.0%
Other Punctuation
ValueCountFrequency (%)
.24970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common74910
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
049940
66.7%
.24970
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII74910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
049940
66.7%
.24970
33.3%

mths_since_last_major_derog
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

policy_code
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
1
24999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters24999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
124999
100.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
124999
100.0%

Most occurring characters

ValueCountFrequency (%)
124999
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number24999
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
124999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common24999
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
124999
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII24999
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124999
100.0%

application_type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
INDIVIDUAL
24999 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters249990
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowINDIVIDUAL
2nd rowINDIVIDUAL
3rd rowINDIVIDUAL
4th rowINDIVIDUAL
5th rowINDIVIDUAL

Common Values

ValueCountFrequency (%)
INDIVIDUAL24999
100.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
individual24999
100.0%

Most occurring characters

ValueCountFrequency (%)
I74997
30.0%
D49998
20.0%
L24999
 
10.0%
A24999
 
10.0%
U24999
 
10.0%
V24999
 
10.0%
N24999
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter249990
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I74997
30.0%
D49998
20.0%
L24999
 
10.0%
A24999
 
10.0%
U24999
 
10.0%
V24999
 
10.0%
N24999
 
10.0%

Most occurring scripts

ValueCountFrequency (%)
Latin249990
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
I74997
30.0%
D49998
20.0%
L24999
 
10.0%
A24999
 
10.0%
U24999
 
10.0%
V24999
 
10.0%
N24999
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII249990
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I74997
30.0%
D49998
20.0%
L24999
 
10.0%
A24999
 
10.0%
U24999
 
10.0%
V24999
 
10.0%
N24999
 
10.0%

annual_inc_joint
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

dti_joint
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

verification_status_joint
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

acc_now_delinq
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
0
24999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters24999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
024999
100.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
024999
100.0%

Most occurring characters

ValueCountFrequency (%)
024999
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number24999
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
024999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common24999
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
024999
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII24999
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
024999
100.0%

tot_coll_amt
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

tot_cur_bal
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

open_acc_6m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

open_il_6m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

open_il_12m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

open_il_24m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

mths_since_rcnt_il
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

total_bal_il
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

il_util
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

open_rv_12m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

open_rv_24m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

max_bal_bc
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

all_util
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

total_rev_hi_lim
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

inq_fi
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

total_cu_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

inq_last_12m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

acc_open_past_24mths
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

avg_cur_bal
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

bc_open_to_buy
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

bc_util
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

chargeoff_within_12_mths
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing29
Missing (%)0.1%
Memory size195.4 KiB
0.0
24970 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters74910
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.024970
99.9%
(Missing)29
 
0.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0.024970
100.0%

Most occurring characters

ValueCountFrequency (%)
049940
66.7%
.24970
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number49940
66.7%
Other Punctuation24970
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
049940
100.0%
Other Punctuation
ValueCountFrequency (%)
.24970
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common74910
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
049940
66.7%
.24970
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII74910
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
049940
66.7%
.24970
33.3%

delinq_amnt
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size195.4 KiB
0
24999 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters24999
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
024999
100.0%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
024999
100.0%

Most occurring characters

ValueCountFrequency (%)
024999
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number24999
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
024999
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common24999
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
024999
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII24999
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
024999
100.0%

mo_sin_old_il_acct
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

mo_sin_old_rev_tl_op
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

mo_sin_rcnt_rev_tl_op
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

mo_sin_rcnt_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

mort_acc
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

mths_since_recent_bc
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

mths_since_recent_bc_dlq
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

mths_since_recent_inq
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

mths_since_recent_revol_delinq
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_accts_ever_120_pd
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_actv_bc_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_actv_rev_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_bc_sats
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_bc_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_il_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_op_rev_tl
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_rev_accts
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_rev_tl_bal_gt_0
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_sats
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_tl_120dpd_2m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_tl_30dpd
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_tl_90g_dpd_24m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

num_tl_op_past_12m
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

pct_tl_nvr_dlq
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

percent_bc_gt_75
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

pub_rec_bankruptcies
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct3
Distinct (%)< 0.1%
Missing417
Missing (%)1.7%
Memory size195.4 KiB
0.0
23563 
1.0
 
1014
2.0
 
5

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters73746
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row2.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.023563
94.3%
1.01014
 
4.1%
2.05
 
< 0.1%
(Missing)417
 
1.7%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0.023563
95.9%
1.01014
 
4.1%
2.05
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
048145
65.3%
.24582
33.3%
11014
 
1.4%
25
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number49164
66.7%
Other Punctuation24582
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
048145
97.9%
11014
 
2.1%
25
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
.24582
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common73746
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
048145
65.3%
.24582
33.3%
11014
 
1.4%
25
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII73746
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
048145
65.3%
.24582
33.3%
11014
 
1.4%
25
 
< 0.1%

tax_liens
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing17
Missing (%)0.1%
Memory size195.4 KiB
0.0
24982 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters74946
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.024982
99.9%
(Missing)17
 
0.1%

Length

Histogram of lengths of the category

Pie chart

ValueCountFrequency (%)
0.024982
100.0%

Most occurring characters

ValueCountFrequency (%)
049964
66.7%
.24982
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number49964
66.7%
Other Punctuation24982
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
049964
100.0%
Other Punctuation
ValueCountFrequency (%)
.24982
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common74946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
049964
66.7%
.24982
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII74946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
049964
66.7%
.24982
33.3%

tot_hi_cred_lim
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

total_bal_ex_mort
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

total_bc_limit
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

total_il_high_credit_limit
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing24999
Missing (%)100.0%
Memory size195.4 KiB

Interactions

Correlations

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idmember_idloan_amntfunded_amntfunded_amnt_invtermint_rateinstallmentgradesub_gradeemp_titleemp_lengthhome_ownershipannual_incverification_statusissue_dloan_statuspymnt_planurldescpurposetitlezip_codeaddr_statedtidelinq_2yrsearliest_cr_lineinq_last_6mthsmths_since_last_delinqmths_since_last_recordopen_accpub_recrevol_balrevol_utiltotal_accinitial_list_statusout_prncpout_prncp_invtotal_pymnttotal_pymnt_invtotal_rec_prncptotal_rec_inttotal_rec_late_feerecoveriescollection_recovery_feelast_pymnt_dlast_pymnt_amntnext_pymnt_dlast_credit_pull_dcollections_12_mths_ex_medmths_since_last_major_derogpolicy_codeapplication_typeannual_inc_jointdti_jointverification_status_jointacc_now_delinqtot_coll_amttot_cur_balopen_acc_6mopen_il_6mopen_il_12mopen_il_24mmths_since_rcnt_iltotal_bal_ilil_utilopen_rv_12mopen_rv_24mmax_bal_bcall_utiltotal_rev_hi_liminq_fitotal_cu_tlinq_last_12macc_open_past_24mthsavg_cur_balbc_open_to_buybc_utilchargeoff_within_12_mthsdelinq_amntmo_sin_old_il_acctmo_sin_old_rev_tl_opmo_sin_rcnt_rev_tl_opmo_sin_rcnt_tlmort_accmths_since_recent_bcmths_since_recent_bc_dlqmths_since_recent_inqmths_since_recent_revol_delinqnum_accts_ever_120_pdnum_actv_bc_tlnum_actv_rev_tlnum_bc_satsnum_bc_tlnum_il_tlnum_op_rev_tlnum_rev_acctsnum_rev_tl_bal_gt_0num_satsnum_tl_120dpd_2mnum_tl_30dpdnum_tl_90g_dpd_24mnum_tl_op_past_12mpct_tl_nvr_dlqpercent_bc_gt_75pub_rec_bankruptciestax_lienstot_hi_cred_limtotal_bal_ex_morttotal_bc_limittotal_il_high_credit_limit
057335473747410000100009950.00000036 months7.51%311.11AA41510+ yearsRENT30000.0Source Verified10-SepCharged Offnhttps://lendingclub.com/browse/loanDetail.action?loan_id=573354Borrower added on 08/30/10 > thank you<br/>home_improvementhomeimproement076xxNJ5.0001-Feb3NaNNaN19014501.20%48f0.000.002247.2100002235.981509.91350.870.0386.433.9611-Mar311.11NaN11-Jul0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
1476321603324150001500014800.00000036 months8.94%476.58AA514001 yearRENT147000.0Not Verified10-JanFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=476321Borrower added on 01/14/10 > Green city housing project<br/> Borrower added on 01/23/10 > I mistyped in the application. $1400 is the current rent we pay. <br/><br/>My employer is Emerson, and my role is marketing and biz dev director. Been with them for 3 years now. My 2009 annual compensation was ~160K. <br/><br/>I have zero credit card debt or car loans. Purpose of the loan is to buy real estate in my home town in India. It costs ~$140K. Rather than taking a mortgage there, I want to buy the property outright. I used $125K from my savings, and I am short $15K. The name of the building community is Green City - www.vplprojects.com.<br/>otherGreen City300xxGA3.470Feb-970NaNNaN60491014%17f0.000.0015112.76000014911.2615000.00112.760.00.000.0010-Mar15114.03NaN10-Feb0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
2451484556265200020002000.00000036 months13.57%67.94CC3360004 yearsOWN36000.0Not Verified9-OctFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=451484major_purchasepayoff w/in 2 years310xxGA7.830Mar-000NaNNaN80179034.40%10f0.000.002354.9668272354.972000.00354.970.00.000.0011-Dec101.78NaN11-Dec0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
310181291246557350003500033951.84413060 months20.89%944.71FF155374201710+ yearsMORTGAGE160000.0Verified11-NovCurrentnhttps://lendingclub.com/browse/loanDetail.action?loan_id=1018129Borrower added on 11/10/11 > Consolidate all debt. On Job 27 years. Loan payment is less than 7%<br>of monthly income.<br>debt_consolidationLoan I488xxMI12.110Jun-991NaN88.01323416591.40%21f5355.365340.0050974.92000048442.0329644.6521330.270.00.000.0016-May944.7116-Jun16-May0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN2.00.0NaNNaNNaNNaN
48000181005270140001400014000.00000060 months17.49%351.64DD5old palm inc5 yearsMORTGAGE50000.0Not Verified11-JulFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=800018Borrower added on 06/29/11 > thanks for the help.<br/>debt_consolidationsave %334xxFL21.2414-Jun121.081.0915539.40%27f0.000.0020804.23002020804.2314000.006804.230.00.000.0015-Sep3943.27NaN16-May0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
5471391595223120001200011900.00000036 months8.94%381.26AA5Brocade Communications7 yearsMORTGAGE294000.0Not Verified9-DecFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=471391NaNotherInvest in Lending Club Notes939xxCA0.500Aug-930NaNNaN11053062.80%21f0.000.0012344.81177012241.9412000.00344.810.00.000.0010-May11204.30NaN10-May0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
65217626747841000065256480.47362460 months7.88%131.93AA5CenturyLink4 yearsMORTGAGE65000.0Not Verified10-JunFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=521762Borrower added on 05/25/10 > I obtained a discover personal loan 2mths ago at a fixed rate of appx 18% for 72 mths to consolidate all revolving debt except 1 low rate card. This loan is to reduce both the term and rate of that loan in order to be debt free w/in 5 years. The only credit card balance I have is a 2nd Discover card which is a fixed balance transfer rate of 2.99% until 2013 which is being paid at a rate to accomplish $0 balance by 01/2013. Original debt was generated from costs to prepare home to sell which didn't sell. No other debt exists except fixed mortgage - not even a car payment.<br/>credit_cardDiscover640xxMO7.621Feb-96123.0NaN130562919.10%23f0.000.007908.8899977846.076525.001383.890.00.000.0015-Feb668.53NaN15-Sep0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
7664532849696780078007800.00000060 months14.91%185.20DD2Department of Homeland Security4 yearsMORTGAGE94000.0Verified11-FebFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=664532Borrower added on 01/30/11 > Money will be used to make a lump some alimony payment.<br/> Borrower added on 01/30/11 > Lump sum alimony payment.<br/> Borrower added on 01/30/11 > Average monthly breakdown:<br/><br/>Mortgage: 1206<br/><br/>Total credit card payments: 1358<br/><br/>Car/Insurance: 300<br/><br/>Miscellaneous expenses: 300<br/>otherHelp With Divorce Expenses480xxMI12.960Feb-001NaNNaN110231737.40%37f0.000.009864.2895379864.297800.002064.290.00.000.0013-May58.59NaN16-May0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
89736221195649188251882518825.00000036 months7.90%589.04AA4Down To Earth Distributors, Inc.5 yearsRENT42000.0Not Verified11-OctFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=973622Borrower added on 10/03/11 > Loan to consolidate debt of a credit card and two student loans into one monthly payment. Thanks for considering investing in our financial health!<br/>debt_consolidationConsolidation Loan974xxOR22.740Aug-980NaNNaN702212155.40%22f0.000.0020958.52894020958.5318825.002133.530.00.000.0013-Dec239.16NaN13-Dec0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
98828491098094350002667526181.23242060 months11.71%589.47BB3pacific crane maintenance company6 yearsMORTGAGE100000.0Verified11-SepCurrentnhttps://lendingclub.com/browse/loanDetail.action?loan_id=882849Borrower added on 09/14/11 > I have a great credit score, this loan fits easily in my budget, There is no chance my income will change and when my house is finished the value will be considerably higher. Thanks so much!<br/> Borrower added on 09/22/11 > Ok getting very close thanks so much!<br/>househome improvement980xxWA1.900Mar-990NaNNaN70584925.30%18f2880.412877.6932393.59000031567.9223794.598599.000.00.000.0016-May589.4716-Jun16-May0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN

Last rows

idmember_idloan_amntfunded_amntfunded_amnt_invtermint_rateinstallmentgradesub_gradeemp_titleemp_lengthhome_ownershipannual_incverification_statusissue_dloan_statuspymnt_planurldescpurposetitlezip_codeaddr_statedtidelinq_2yrsearliest_cr_lineinq_last_6mthsmths_since_last_delinqmths_since_last_recordopen_accpub_recrevol_balrevol_utiltotal_accinitial_list_statusout_prncpout_prncp_invtotal_pymnttotal_pymnt_invtotal_rec_prncptotal_rec_inttotal_rec_late_feerecoveriescollection_recovery_feelast_pymnt_dlast_pymnt_amntnext_pymnt_dlast_credit_pull_dcollections_12_mths_ex_medmths_since_last_major_derogpolicy_codeapplication_typeannual_inc_jointdti_jointverification_status_jointacc_now_delinqtot_coll_amttot_cur_balopen_acc_6mopen_il_6mopen_il_12mopen_il_24mmths_since_rcnt_iltotal_bal_ilil_utilopen_rv_12mopen_rv_24mmax_bal_bcall_utiltotal_rev_hi_liminq_fitotal_cu_tlinq_last_12macc_open_past_24mthsavg_cur_balbc_open_to_buybc_utilchargeoff_within_12_mthsdelinq_amntmo_sin_old_il_acctmo_sin_old_rev_tl_opmo_sin_rcnt_rev_tl_opmo_sin_rcnt_tlmort_accmths_since_recent_bcmths_since_recent_bc_dlqmths_since_recent_inqmths_since_recent_revol_delinqnum_accts_ever_120_pdnum_actv_bc_tlnum_actv_rev_tlnum_bc_satsnum_bc_tlnum_il_tlnum_op_rev_tlnum_rev_acctsnum_rev_tl_bal_gt_0num_satsnum_tl_120dpd_2mnum_tl_30dpdnum_tl_90g_dpd_24mnum_tl_op_past_12mpct_tl_nvr_dlqpercent_bc_gt_75pub_rec_bankruptciestax_lienstot_hi_cred_limtotal_bal_ex_morttotal_bc_limittotal_il_high_credit_limit
24989476202603131500050004900.0000036 months11.48%164.85BB2PPC Construction, Inc.8 yearsRENT48000.0Not Verified10-JanFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=476202Borrower added on 01/12/10 > I plan to pay off all existing credit card debts and I have not missed a payment and always make them on time.<br/>debt_consolidationoperation debt free900xxCA14.5703-Mar0NaNNaN160747942.70%20f0.00.05934.5554875815.865000.0934.560.00.00.013-Feb178.60NaN14-Feb0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
24990763027963597132501325012950.0000036 months10.99%433.73BB3PPC Mechanical Seals2 yearsMORTGAGE30000.0Source Verified11-JunFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=763027NaNdebt_consolidationDebt Consolidation708xxLA5.8805-Sep0NaNNaN60832850.80%10f0.00.015556.78953015204.5613250.02306.790.00.00.014-Jan2590.86NaN16-May0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
249918564661068828130001300012950.0000036 months5.42%392.08AA1PPD5 yearsMORTGAGE59000.0Not Verified11-AugFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=856466Borrower added on 08/18/11 > I want to consolidate and pay off 3 credit cards that mainly grew quickly due to unforeseen major car issues and veterinarian bills. I'm a good borrower as I always make my monthly payments and have a steady job as an enterprise mobile app systems developer.<br/>debt_consolidationCredit Card Payoff284xxNC5.820Sep-930NaNNaN601333162.60%12f0.00.014114.79470014060.5113000.01114.790.00.00.014-Sep401.72NaN15-Dec0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
24992662552847281850085008500.0000060 months10.74%183.72BB4PPD3 yearsMORTGAGE38000.0Source Verified11-FebFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=662552NaNdebt_consolidationCredit Card Consolidation284xxNC7.450Jul-931NaNNaN50893851.10%28f0.00.09990.1757269990.188500.01490.180.00.00.013-Jan5950.77NaN16-Apr0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
24993824986103374414575145755700.0000060 months13.99%339.06CC3PPD, Inc.10+ yearsRENT45000.0Not Verified11-JulFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=824986Borrower added on 07/21/11 > I plan on using the funds to pay off high interest credit cards and to have one payment a month. I am a good risk based on my credit score and that I have always been current on my debt obligations. As you can see I have been with the same company for 11 years and the company is very stable and growing.<br/> Borrower added on 07/22/11 > In addition, the monthly payment on this loan is less that what I currently have been paying monthly for all my credit cards. I plan on paying the required amount every month for the loan but will often pay more than that especially when I get items such as tax returns. bonuses and employee stock sales.<br/>debt_consolidationPersonal Loan284xxNC24.960Aug-941NaNNaN1901767029.20%40f0.00.016478.7121906444.5014575.01903.710.00.00.012-Aug12752.57NaN16-Mar0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
24994450579554340550055005500.0000036 months14.96%190.55DD2PPDG7 yearsMORTGAGE52000.0Not Verified9-OctFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=450579554340 added on 10/10/09 > TRY TO PAY OFF ALL MY DEBT ASAP.I AM GETTING THERE SO THANKS FOR ALL YOUR SUPPORT ....LUMIdebt_consolidationFREEDOM320xxFL18.740Aug-982NaNNaN1101065558.20%37f0.00.06825.0667836825.075500.01325.070.00.00.012-May1122.20NaN12-Jun0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
24995788033991661114501145011450.0000036 months8.49%361.40AA5PPG Industries7 yearsRENT40000.0Source Verified11-JunFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=788033Borrower added on 06/18/11 > I've been at my job for 7 years now. I want to pay off my high interest credit cards.<br/> Borrower added on 06/21/11 > I've never been late on payments.<br/> Borrower added on 06/27/11 > I want to pay of my credit card debt fast so that I can start planning on saving for a house.<br/>debt_consolidationCredit Card Consolidation980xxWA21.2104-Jan0NaNNaN1001019234%15f0.00.013010.20603013010.2111450.01560.210.00.00.014-Jul382.90NaN16-May0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
24996568459731299240002400021100.3142460 months20.53%642.96GG2PPG Industries10+ yearsMORTGAGE74454.0Verified10-AugFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=568459Borrower added on 08/21/10 > Consolidating all revolving debt to fixed debt and improve my great credit score to A1 status.<br/>debt_consolidationC3myboy301xxGA19.950Jun-983NaNNaN902910877.20%24f0.00.033765.06831026978.9624000.09765.070.00.00.013-Jan16500.39NaN16-May0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN
24997397594428786140001400011411.1208936 months17.58%503.19FF2PPG Industries10+ yearsMORTGAGE86000.0Verified9-MayFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=397594I'm looking to consolidate high intrest loans and improve cash flow.debt_consolidationconsolidation loan 001440xxOH21.930Jul-990NaN101.01311899195%26f0.00.017917.01290014191.0614000.03917.010.00.00.011-Oct3857.88NaN15-Jun0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1.00.0NaNNaNNaNNaN
24998660367844601134001340013400.0000036 months13.06%451.89CC2PPG Industries, INC< 1 yearRENT62040.0Not Verified11-JanFully Paidnhttps://lendingclub.com/browse/loanDetail.action?loan_id=660367Borrower added on 01/26/11 > I plan to use these funds to consolidate my credit cards that I used to pay off my relocation to my new job and buy furniture for the apartment. When I get this loan I will pay a lower interest than the amount I'm currently paying on my credit cards and will have a stable payment. Even when I was a student I've never missed a payment and because I'm building credit to later on buy a house I don't plan on doing it either. PPG industries, INC is a very stable company in which many of my co-workers have been working here over 30 or 40 years. The reason is that although there not the highest payers they are over the average and like I said there very stable. I work as a Mechanical Engineer developing projects. My income every month is $5,170 that subtracting taxes, health plan, 401k, saving account and all other deductions I get net of $3,900. I pay $950 monthly rent for my apartment and an average of $100 in utilities. Most of the payments that I'm making are for the credit cards, Mint.com suggested me to consolidate with you guys to save money and if all goes well I will.<br/>debt_consolidationRefinance Debt Loan706xxLA18.840Sep-003NaNNaN120538941.80%14f0.00.016268.44055016268.4413400.02868.440.00.00.014-Feb475.29NaN14-Feb0.0NaN1INDIVIDUALNaNNaNNaN0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaNNaN